Automobile

Accountant

Position Summary The Accountant supports the Financial Controller by managing key accounting and financial reporting functions for the U.S. entity, while also demonstrating the ability to work independently within established guidance. This role partners closely with the Controller to ensure accurate, timely, and compliant financial reporting across local, group, and global structures within a regulated defense manufacturing environment. This position is hands-on and primarily responsible for preparing components of the monthly close process, including supporting schedules and reporting packages. The role also assists with audit and regulatory compliance requirements and contributes to maintaining and strengthening internal controls. In addition, the position supports financial analysis, budgeting, and cost performance monitoring, providing reliable data and insights while operating as a strong individual contributor Reporting Structure • Reports to: Financial Controller Core Responsibilities 1. Financial Close & Accounting Operations • Support the monthly, quarterly, and annual close process • Prepare and review journal entries, accruals, and account reconciliations • Maintain general ledger accuracy and integrity • Oversee all accounts payable, accounts receivable, and payroll activities • Support inventory and cost accounting in a manufacturing environment • Support compliance with U.S. GAAP and alignment with IFRS reporting requirements • Strengthen and maintain internal controls in accordance with group and regulatory standards 2. Global & Group Reporting • Support preparation and submission of monthly financial reporting packages to Group and Global Finance • Support implementation of reporting through Visual ERP and Tagetik consolidation system • Reconcile intercompany transactions • Provide variance analysis and detailed commentary for group-level review • Support quarterly reforecast and annual budget submissions • Assist with consolidation requirements and global reporting deadlines 3. Audit & Regulatory Compliance • Support coordination of external financial statement audits • Support government and defense-related audit requirements • Prepare audit schedules and supporting documentation • Assist with state and federal reporting obligations 4. Financial Analysis & Business Support • Support product cost analysis and margin performance monitoring • Assist in working capital and cash flow analysis • Support the annual budget and quarterly forecasting processes • Provide ad hoc financial analysis to support operational decision-making 5. Systems & Process Improvement • Support financial systems resource for Visual ERP and Tagetik • Support by identifying and implementation of process improvements to enhance reporting efficiency • Support system upgrades and reporting enhancements Qualifications • Bachelor's degree in accounting or finance required • CPA strongly preferred • 6-10 years of progressive accounting experience • Manufacturing experience required • Experience in international reporting environments is preferred. • Working knowledge of U.S. GAAP; working knowledge of IFRS required • Experience with ERP systems required; Visual and/or Tagetik experience a plus. • Experience in defense, aerospace, or government contracting preferred Skills & Competencies • Strong technical accounting and financial reporting expertise • Ability to manage multiple reporting calendars and tight deadlines • High attention to detail and strong analytical capability • Effective communicator • Hands-on, solutions-oriented mindset • Ability to operate both strategically and tactically PI37bc98c6cfd9-3501

  • Sterling Heights, MI

  • no content

ERISA Compliance Specialist

The Quality Review Specialist (QRS) is primarily responsible for the communication and satisfaction of servicing internal and external clients. The single most important aspect for success as a QRS is to leverage their industry knowledge to provide proactive and responsive communication with MAP Colleagues. They must directly communicate with team members across the organization, utilizing Teams messaging, phone calls, virtual meetings and/or email. They will engage in active communication, setting clear and detailed expectations with colleagues and Directors as an essential skill. The QRS is responsible for reviewing the quality of client and annual valuations, government forms, correction calculations, providing technical assistance to MAP Colleagues, and assisting leadership as needed. This position will strive to ensure internal and external clients have high-quality experience interacting with the firm. QRS is responsible for excellence in the areas of Annual Valuation, Compliance/testing, Internal Revenue Code, ERISA law while building relationships and collaborating with cross-functional teams. May participate in projects as assigned. Key Responsibilities Authority Ensure client annual compliance package and valuations are accurate and returned. Ensure reviewed work is compliant according to federal regulations and completed based on MAP's Quality Standards. Work with Directors of Account Management and Training with ongoing improvements and/or efficiency with operational workflow within the Quality Review Team. Serve as a contact for internal colleagues which includes timely responses to all inquiries, via Teams phone/virtual and/or email, as necessary. Responsibility / Accountability A QRS must have experience in Qualified Retirement Plan administration including all aspects of administration, compliance testing and regulatory forms. Ensure internal colleagues receive the proper service regarding inquiries, valuations, plan documents and compliance through appropriate management. Increase & maintain industry knowledge of Internal Revenue Code (IRC), ERISA, and other relevant laws by attending webinars, virtual training, certifications and/or obtaining designations as presented by either direct manager or senior leadership. Attend and actively participate in all team and direct manager meetings. Principle Processing Maintain and demonstrate a high product standard of reviewed work to ensure client and colleague satisfaction. Review 8-10 annual valuations per day for accuracy of census, reconciliation, compliance testing, regulatory filings, late deposit corrections and proper documentation completed based on MAP's standard processes. Review QDRO's assigned. Identify and return inaccurate valuations to the preparer. Coordinate with client-facing team members to address issues of plan qualification, fiduciary responsibility or other plan regulatory issues. Advise when corrective Plan Amendments are needed. Respond to and assist with inquiries and escalated issues from team members covering plan qualification, fiduciary responsibility, regulatory issues, plan establishment, merger, spin-offs, plan provisions, plan terminations and compliance corrections. Escalate review items to the team manager, if necessary. Collaborate with QR Team and Compliance Manager to identify consistent errors where additional training would be beneficial for the QR Team, as well as other departments. Deliver assigned work and projects within deadlines meeting or exceeding expectations. The Quality Review Specialist must be a good communicator, display a positive 'can do' attitude, be patient, muti-task and work well on both routine and non-route activities. They must be outstanding time managers, capable of working strategically and thinking through issue If you are a motivated and strategic quality review professional looking to contribute to the growth of a dynamic organization, we invite you to apply for the Quality Review Specialist position. Join us in shaping the future of MAP Retirement and delivering exceptional value to our clients. Minimum 3 years of experience in third-party administration. Minimum 5 years of experience in financial services operations environment. PensionPro and FTW experience a plus. Microsoft Office 360, SharePoint, Notebook, PowerPoint experience preferred PIa-7681

  • Avondale, MD

  • no content

Applied Researcher I

Applied Researcher I At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Pimmit, VA

  • no content

Applied Researcher II

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Prince, NY

  • no content

Senior Lead AI Engineer (Gen AI Platform Services)

Senior Lead AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Prince, NY

  • no content

Client Service Specialist

POSITION SUMMARY: The Client Service Specialist is a customer-focused role, dedicated and vital to the success of Park State Bank. In this role, you will serve as a trusted advisor to our customers, helping them with various banking needs, such as account management, financial guidance, and product inquiries. The ideal candidate will have a strong understanding of banking products, excellent communication skills, and a commitment to delivering impactful and outstanding customer service. Key Responsibilities: High-Touch Client Service: Provide exceptional and personalized service to every client, ensuring their banking needs are met with care and attention. Anticipate and proactively address client needs by offering tailored solutions and recommendations. Be readily available to clients, whether in person, over the phone, or via email, to promptly assist with inquiries or concerns. Client Consultation: Engage with clients to understand their financial needs and goals, providing personalized solutions and recommendations. Client Focus: Demonstrate a genuine passion for providing exceptional customer service and a commitment to ensuring client satisfaction in every interaction. Account Services: Assist clients with account openings, closures, updates, and general inquiries, ensuring accuracy and compliance with bank policies. Product Knowledge: Maintain a deep understanding of the bank's products and services to educate customers and recommend appropriate solutions for each Client's needs individually. Transaction Processing: Handle client transactions, including deposits, withdrawals, and fund transfers, accurately and efficiently. Financial Guidance: Offer basic financial advice, such as budgeting tips and savings strategies, to help clients achieve their financial objectives. Cross-selling: Identify opportunities to promote and cross-sell bank products and services to meet client's needs. Compliance: Ensure strict adherence to all banking regulations, policies, and procedures in every client interaction. Client Relationship Management: Build and maintain strong client relationships, addressing inquiries and concerns with professionalism and care. Adaptability and Flexibility: Adapt to changing priorities and work effectively in a fast-paced retail environment. Documentation: Maintain accurate records of client interactions, transactions, and account updates. Quality Assurance: Uphold a high standard of service quality, contributing to the overall success of the bank's client service initiatives. SECONDARY RESPONSIBILITIES AND ACCOUNTABILITIES: Other duties as may be assigned. PERFORMANCE MEASURES: Balances efficiently and accurately Maintains confidentiality of client account information Follows established policies and procedures in responding to inquiries and requests Willingly participates in bank training In compliance with all regulations related to job duties Effectiveness of communications and development of good working relationships with co-workers and clients WORKING CONDITIONS: Will need to be able to handle stressful situations and function in a very fast-paced environment while remaining calm and precise. Must have excellent interpersonal and organizational skills and enjoy working with the public. Will need to communicate in a clear, concise, and pleasant manner. Willingness to travel to other branches is essential. May, on occasion, have to work longer hours than scheduled. Must be able to meet deadlines, multi-task and adjust priorities as necessary. Must possess strong organizational, analytical, communication, and interpersonal skills, including the ability to work with all levels of management and the Bank's vendors. Must be a self-starter who challenges existing processes and can identify and implement efficiencies and cost-saving solutions. Will have access to and knowledge of all employees' accounts, customer information, and the bank's finances, so the ability to keep information confidential is extremely important. The employee will be working in an indoor office setting in a light work situation (exerting up to 20 lbs. of force frequently, and/or a negligible amount of force constantly to move objects). Must be able to remain in a stationary position 50% of the time and be able to occasionally move about inside the office to access file cabinets, office machinery, etc. Constantly operates a computer and other office productivity equipment. Employee frequently communicates with employees, customers and vendors. Will be required to travel to branches within region on a weekly basis, so must have a valid driver's license and reliable transportation. Must be able to exchange accurate information both orally and written in English. Employee will be required to travel to branches located within the region. Despite ongoing security training, there is always the possibility of a bank robbery. GENERAL NOTICE: This description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee. Other duties may be assigned as necessary. Role Qualifications: Education or certifications related to customer service or retail management is a plus. Previous experience in a customer service or retail banking role is preferred. Strong interpersonal and communication skills, both verbal and written. Proficiency in using retail software systems, point-of-sale (POS) terminals, and other relevant technology platforms commonly used in retail environments. Knowledge of banking products, services, and regulatory compliance. Ability to work effectively in a team and independently. Efficiently able to multi-task along with excellent problem-solving skills and attention to detail Maintain utmost confidentiality of Clients information at all times. Other Skills and Abilities Strong communication skills along with the ability to effectively communicate with others Client service focused Resourceful, well organized and ability to multitask in a face paced environment. Effective decision-making skills Strong attention to detail High school diploma or equivalent 1-2 years working in a customer-facing capacity, specifically in banking (preferred), retail, or hospitality Compensation details: 18-20 Hourly Wage PIf800d49ac5-

  • Grand Rapids, MN

  • no content

Lead AI Engineer, AI Foundations

Lead AI Engineer, AI Foundations Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Prince, NY

  • no content

Personal Injury Litigation Attorney

About the Company Since 1993, the attorneys of Isaacs & Isaacs Personal Injury Lawyers have fought for injured victims across Kentucky, Indiana, and Ohio. With more than $2 billion recovered for clients, the team continues to advocate for individuals harmed in car crashes, trucking accidents, commercial vehicle incidents, and wrongful death cases. The firm is seeking an experienced Personal Injury Litigation Attorney in the state of Kentucky to join its growing practice. This role focuses primarily on motor vehicle accident litigation, with opportunities to work on additional personal injury matters including premises liability and dog bite cases. This position offers the opportunity to manage a meaningful caseload, advocate for injured clients, and contribute to a collaborative litigation team. Responsibilities Manage and litigate motor vehicle accident cases from filing through resolution. Draft and file litigation documents including pleadings, motions, discovery requests, discovery responses, and demand packages. Conduct legal research and prepare legal memoranda and briefs. Prepare for and attend depositions, mediations, hearings, and court appearances. Work with expert witnesses, including coordinating conferences and assisting with expert reports and affidavits. Guide clients through each stage of the litigation process and maintain strong client communication. Collaborate with support staff and leadership to ensure cases progress efficiently. Participate in professional development opportunities, including training programs and seminars. Perform additional duties as assigned by management. Qualifications 5 years of experience practicing as an attorney. 5 years of litigation experience. At least 2 years of personal injury litigation experience. Active Kentucky Bar license and good standing required. Demonstrated ability to manage a high-volume litigation caseload (50 cases). Excellent legal writing, research, and oral advocacy skills. Strong client communication and client service skills. Highly organized with the ability to prioritize and manage multiple deadlines. Self-starter with strong professional drive and long-term career goals. Compensation & Benefits Competitive base salary plus commission/bonus structure Medical Insurance Dental Insurance Vision Insurance Flexible Schedule Flexible Spending Account (FSA) Health Savings Account (HSA) with employer contributions Employer-paid Life and AD&D Insurance Voluntary Life Insurance options Employer-paid Short-Term and Long-Term Disability Employee Referral Bonus Program 401(k) with company match The position is primarily based in the Louisville, Kentucky office. We are an Equal Opportunity Employer. It is the policy of the Firm to assure equal employment opportunity to all employees, candidates for employment, and other covered persons without regard to unlawful considerations of race, color, religion or creed, gender sex (including pregnancy), national origin or ancestry, ethnicity, citizenship status, genetic information, military or veteran status, age, physical or mental disability, status as a smoker, or any other classification protected by applicable local, state, or federal laws. This applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. Reasonable accommodation is available for qualified individuals with disabilities in accordance with applicable federal, state, and local law. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. PIb62b7ff7eab8-3219

  • Parkway Village, KY

  • no content

Solar Technician - Military-Friendly

Job Description: If you're a military veteran looking for your next career move, your skills and experience are highly valued here. The work you did in the military, maintaining, troubleshooting, and operating complex systems-translates directly to the responsibilities of a Solar Technician. We welcome candidates from all military backgrounds, regardless of rank or specialty, and encourage you to apply. Your dedication, technical expertise, and teamwork make you a perfect fit for our team. Responsible for the safe, proper and efficient operation and maintenance of the assigned solar plant. Position is responsible for the operating and monitoring of equipment and records operational data and reports any abnormalities. Perform minor maintenance task and assists higher level technicians in the operations and maintenance of the power plant. Overtime, shift work and travel may be required. Work is performed under supervision and direction from the maintenance manager. Responsibilities: Performs other technical and administrative duties associated with operating and maintaining a power facility. Inspect and monitor equipment to detect malfunctions, need for repair, adjustment or lubrication. Performs other technical and administrative duties associated with operating and maintain a power facility. Ensures work is performed in accordance with Environmental and Safety requirements. Must be able to perform work independently and/or in work crews. Performs additional responsibilities as requested or assigned. Qualifications: This is a multi-level posting. Applicants may apply for positions for which they possess at least the minimum education and/or experience. Applicants with experience beyond the minimum will be considered for the advanced level. Associate Solar Technician High school diploma or general education degree and one to three years of experience in power plant operation or maintenance or an equivalent combination of education, technical training, and experience, including relevant military experience A valid US driver's license is required. Salary Range: $28.51 - $40.24 Solar Technician I Two plus years of field experience in Instrumentation/Electrical, Instrumentation and Controls (I&C), C&I Electrician, or comparable military occupational specialties involving electrical, mechanical, or power generation systems. A valid US driver's license is required. Salary Range: $32.84 - $46.35 Employees must be able to perform the essential functions of the position, with or without an accommodation. Job Info Job Identification: Job Category: Renewable Generation Posting Date: 2026-04-03 Apply Before: 2026-05-03T16:00 00 Job Schedule: Full time Locations: 1401 Nevill Cutoff Road, Fort Stockton, TX, 79735, US Business: BHE Renewables, LLC PI399e6ec4265f-2710

  • Fort Stockton, TX

  • no content

Sr. Media Consultant/Ad Salesperson - Remote

Description: We are looking for an experienced Digital Media Sales Rep to walk into a solid book of business in the Christian marketplace. JOB SUMMARY: The core mission of the Outreach Media Group Sr. Media Consultant/Ad Salesperson is to sell digital and print advertising campaigns to companies and advertising agencies desiring to reach the faith-based market. The NMC will develop a client base to leverage across multiple media channels including our Church Leader Web Network and Faith-Based Consumer Network-with the primary responsibility of closing $500,000-$800,000 annually. ESSENTIAL DUTIES: Build and grow a book of business to support monthly sales objectives. Generate quality conversations with prospective clients to consistently increase new business. Communicate consistently with existing clients about the expanding opportunities Outreach offers to ensure client retention and growth. Maintain a level of phone activity consistent with sales goals and assigned opportunities. Manage internal relationships with sales and administrative teams in a manner consistent with the company's core values and that helps everyone grow and improve. Make between 20-50 Outbound Calls DAILY. Communicate effectively by phone and email, both internally and externally. Build relationships that increase the number of new advertisers and increase revenue from current advertisers to meet monthly sales goals. Achieve sales goals through the sale of online, print, email, and lead generation advertising campaigns. Requirements: JOB QUALIFICATIONS: Support company culture by commitment to the Mission, Vision, and Core Values of Outreach, Inc. Have a solid command of technology, excellent typing skills, and exceptional phone manner. Ability to develop effective strategies for follow-up with clients and possess the administrative skills to manage them utilizing the following programs: Google Suite, LinkedIn, and other programs as implemented. Excellent communication skills Relationship-building skills EDUCATION & EXPERIENCE: Associate or Bachelor's degree in business, sales and marketing, communications or related field preferred and/or relevant sales and marketing experience. 3 years of selling digital or print media for advertising purposes General knowledge of advertising and implementation of media plans. Working knowledge of digital media, display advertising and social media. Cold-calling experience. Proficient in G Suite (Google) and Salesforce Sales Cloud WORKING CONDITIONS: Office working conditions Travel may be required 1-4 times per year. CORE VALUES: All Outreach employees are expected to maintain the five core values. Stewardship - Efficient management of people, time, money, resources and responsibilities. Agility - Helps Outreach seize opportunities with demonstrations of flexibility and adaptability. Integrity - Earns the trust and confidence of coworkers and customers through ethical and professional behavior. Teamwork - Promotes a team-first atmosphere inside and across departments to ensure success of the project, the company and individuals. Continuous Improvement - Proactively analyzes processes in order to optimize, improve and implement new systems or strategies. Compensation details: 00 Yearly Salary PI2627d76b77f9-2078

  • Rockrimmon, CO

  • no content

Audiology Administrative Assistant

Description: If you are a highly motivated individual with a passion for providing excellent patient care, we encourage you to look at our Audiology Administrative Assistant opportunity with our Hearing Health Solutions division. We offer a competitive salary and benefits package, as well as opportunities for growth and advancement within our organization. Competitive Pay & Benefits: Med/Dental/Vision, Paid Personal Time, Paid Holidays, 401K, Paid STD/LTD/Life Work Environmental: Medical office environment. Mondays-Fridays 8:00 a.m. - 5:00 p.m. Occasional overtime may be required The Audiology Administrative Assistant plays a critical role ensuring a seamless patient experience within a clinical environment characterized by high telephone volume and a focus on delivering excellent patient care. This role serves as the initial point of contact for the patient by providing patient intake, gathering patient information, scheduling, and billing coordination. The Audiology Administrative Assistant requires exceptional communication skills, empathy and the ability to manage multiple tasks efficiently. This role manages patient calls for all (6) office locations, route calls to the appropriate office, registering patients and scheduling appointments. Essential Functions: Serve as the first point of contact for patients, addressing inquiries related to appointments, medical services and billing. Register new patients and update established patient demographics. Manage a high volume of incoming calls with professionalism and courtesy. Prioritize patient needs, ensuring timely response and resolution of issues. Assist patients with questions regarding testing, services and retail products. Provide clear and accurate information to enhance patient understanding and satisfaction. Efficiently manage appointment bookings, cancellations, and rescheduling, coordinating with medical staff to optimize patient flow and clinic operations. Accurately input and update patient information in the EMR, ensuring compliance with privacy regulations. Indexing of office records. Handle patient concerns and complaints in a professional and courteous manner. Other general office duties as assigned, such as assisting with invoicing, checking-in patients, and assisting with checking in supplies. Ensure compliance with HIPAA and clinic policies. PM20 Requirements: Qualified applicant should have at least 1 year experience in a medical office, audiology clinic, or healthcare setting. Excellent oral and written communication skills required. Attention to detail and problem-solving skills. Knowledge of Microsoft Office software and electronic medical records system required. Knowledge of medical terminology and insurance processes preferred. Ability to operate a multi-line telephone system. Strong customer service and communication skills required. PIb970a-8046

  • Riverlea, OH

  • no content

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Prince, NY

  • no content