Logistics

Bilingual Addiction Medicine Counselor (FT, Days)

Job Summary: Addiction Medicine (AM) Counselors provide engagement, counseling, and case management services to members that are affected by substance use disorders. AM Counselors are generalists who are flexible in their job duties serving a population that has a variety of needs including treatment for substance use disorders, co-occurring mental health disorders, and support and education for their family members. AM Counselors function within a multidisciplinary treatment team to support members that present in all phases of readiness for change. Essential Responsibilities: Provide high quality clinical services (individual, group, and family) to our members through direct assessment, diagnosis and formulation/implementation of treatment plan in outpatient or residential settings. Provide all care in accordance with accepted best practice standards and department protocols (including supervision). Conducts hospital consults as requested by clinical services manager, Clinical Director or Chief of Addiction Medicine department. Provide case management through appropriate triaging and referrals, consultation with other providers, contact with members and their families, and reporting to outside agencies. Document all member care in the electronic medical record in accordance with accepted medical/legal standards. Provide other member or department services, such as program development, in-service training, crisis intervention and supervision of members during residential activities. Basic Qualifications: Experience Minimum one (1) year working in a setting that is specific to substance use disorder treatment within the last five (5) years OR completion of KP Addiction Medicine department internship before hire/transfer. Completed training from American Society of Addiction Medicine Criteria within the first three (3) months of hire or within the most recent two (2) years prior to hire. Education Masters level degree in counseling, social work, or closely related field (M.S.W., M.S., M.A., M.Ed.), post-masters experience not required, if completed one (1) year of departmental internship. License, Certification, Registration Licensed Clinical Social Worker (Oregon) OR Licensed Marriage and Family Therapist (Washington) OR Drug and Alcohol Counselor Certificate (Oregon) OR Professional Counselor License (Oregon) OR Licensed Marriage and Family Therapist (Oregon) OR Substance Use Disorder Professional Trainee Certification (Washington) OR Mental Health Counselor License (Washington) OR Substance Use Disorder Professional License (Washington) OR Licensed Independent Clinical Social Worker (Washington) OR Licensed Advanced Social Worker License (Washington) National Provider Identifier required at hire Additional Requirements: Thorough and working knowledge of current best practice treatment for; adolescents and adults and their family members needing substance use disorder treatment services; including treatment principles for individual, family, and group counseling; and treatment/intervention options for common co-occurring mental health disorders. Thorough and working knowledge of legal requirements for reporting abuse and maintaining confidentiality. Thorough and working knowledge of accepted best practice protocols and ethical guidelines and behaviors for counselors. Thorough and working knowledge of best practices for delivering culturally aware services. Ability to assess, diagnose, and treat members affected by substance use. Ability to recognize, assess, and provide treatment for members with co-occurring mental health disorders. Ability to effectively apply ASAM criteria to make placement decisions. Ability to use appropriate procedural/testing equipment and tools. Ability to provide case management for patients with a variety of needs including legal issues and social determinants of health. Ability to interface with large multidisciplinary systems. Competency in computer skills including email, and other typical office applications. Competency in computer skills including ability to access and utilize web-based resources. Proficient in providing both face to face and virtual care. Ability to learn and teach patients to use electronic recovery aids, apps, etc. Oregon licensure/certification is required for Oregon positions. Washington licensure/certification is required for Washington positions, dual licensure is encouraged. Final candidate must pass pre-employment language skill assessment administered over the phone by Kaiser Permanente. Upon hire, must take the next available Kaiser Permanente Qualified Bilingual Staff (QBS) training for continued employment. For licensed mental health professionals that do not hold a drug and alcohol certification are required to demonstrate at least 60 contact hours of academic or continuing professional education in the treatment of substance use disorders. Preferred Qualifications: Minimum Two (2) years of post-masters experience working in a substance use disorder treatment setting within the last 5 years. Experience working in an integrated healthcare setting including primary care services Experience or specialized training in treating adolescents with substance use disorders Experience or specialized training in family therapy and working with family members that have a family member with a substance use disorder Experience or specialized training in treating trauma Experience in applying Motivational Interviewing techniques to engage and triage new patients Experience working with an interdisciplinary treatment team including medical providers Experience working with patients that are receiving either prescribed or dispensed medications for substance use disorders Experience using Feedback Informed Care tools in direct patient care Experience providing crisis management services Experience working with electronic health record systems Certified Addiction Counselor in practicing state required at time of hire/transfer, and Current license to treat mental health disorders without restriction, LPC, LMFT, LCSW, LICSW, LMHC in practicing state required at time of hire/transfer. Certified Addiction Counselor in both OR and WA state. Notes: Schedule may vary

  • Orenco, OR

  • no content

Registered Nurse (RN) Durbin Park Night Shift Full Time

Overview: Expert Care Is Coming to Durbin Park. September 2026, UF Health will open UF Health Durbin Park Hospital, a transformative new health care destination in St. Johns County, Florida. Rising five stories and spanning approximately 220,000 square feet, this state-of-the-art hospital will feature 99 inpatient beds designed for comfort, innovation and exceptional outcomes. In addition, UF Health Durbin Park Hospital will feature a 24-hour Emergency Department. Built to serve a growing community, UF Health Durbin Park Hospital brings advanced medicine, leading specialists and trusted UF Health expertise closer to where you live and work - so world-class care is never far away. Also conveniently located on the UF Health Durbin Park campus is a medical office building, featuring medical specialty services. This is more than a hospital. It's a commitment to the future of health care in Northeast Florida. Responsibilities: The Registered Nurse (RN) is responsible for managing the individualized patient care by promoting and restoring patients health through the nursing process. The RN provides direct patient care, including assessment, diagnosis, planning implementation, evaluation, and patient health education within the guidelines of the standards of nursing care. This is a full time night shift position. 7pm-7am Qualifications: Required Education: Associate's Degree in Nursing BSN within 3 years of hire Required license/certifications: Licensed RN in the State of Florida BLS ACLS Required experience: 1-2 years of related Critical Care experience. Preferred Experience: 2 years of relevant experience

  • St Johns, FL

  • no content

Registered Nurse (RN) Durbin Park Night Shift Full Time

Overview: Expert Care Is Coming to Durbin Park. September 2026, UF Health will open UF Health Durbin Park Hospital, a transformative new health care destination in St. Johns County, Florida. Rising five stories and spanning approximately 220,000 square feet, this state-of-the-art hospital will feature 99 inpatient beds designed for comfort, innovation and exceptional outcomes. In addition, UF Health Durbin Park Hospital will feature a 24-hour Emergency Department. Built to serve a growing community, UF Health Durbin Park Hospital brings advanced medicine, leading specialists and trusted UF Health expertise closer to where you live and work - so world-class care is never far away. Also conveniently located on the UF Health Durbin Park campus is a medical office building, featuring medical specialty services. This is more than a hospital. It's a commitment to the future of health care in Northeast Florida. Responsibilities: The Registered Nurse (RN) is responsible for managing the individualized patient care by promoting and restoring patients health through the nursing process. The RN provides direct patient care, including assessment, diagnosis, planning implementation, evaluation, and patient health education within the guidelines of the standards of nursing care. This is a full time night shift position. 7pm-7am Qualifications: Required Education: Associate's Degree in Nursing BSN within 3 years of hire Required license/certifications: Licensed RN in the State of Florida BLS ACLS Required experience: 1-2 years of related Critical Care experience. Preferred Experience: 2 years of relevant experience

  • Town of Nocatee, FL

  • no content

Registered Nurse (RN) Durbin Park Night Shift Full Time

Overview: Expert Care Is Coming to Durbin Park. September 2026, UF Health will open UF Health Durbin Park Hospital, a transformative new health care destination in St. Johns County, Florida. Rising five stories and spanning approximately 220,000 square feet, this state-of-the-art hospital will feature 99 inpatient beds designed for comfort, innovation and exceptional outcomes. In addition, UF Health Durbin Park Hospital will feature a 24-hour Emergency Department. Built to serve a growing community, UF Health Durbin Park Hospital brings advanced medicine, leading specialists and trusted UF Health expertise closer to where you live and work - so world-class care is never far away. Also conveniently located on the UF Health Durbin Park campus is a medical office building, featuring medical specialty services. This is more than a hospital. It's a commitment to the future of health care in Northeast Florida. Responsibilities: The Registered Nurse (RN) is responsible for managing the individualized patient care by promoting and restoring patients health through the nursing process. The RN provides direct patient care, including assessment, diagnosis, planning implementation, evaluation, and patient health education within the guidelines of the standards of nursing care. This is a full time night shift position. 7pm-7am Qualifications: Required Education: Associate's Degree in Nursing BSN within 3 years of hire Required license/certifications: Licensed RN in the State of Florida BLS ACLS Required experience: 1-2 years of related Critical Care experience. Preferred Experience: 2 years of relevant experience

  • Orange Park, FL

  • no content

Registered Nurse (RN) Durbin Park Night Shift Full Time

Overview: Expert Care Is Coming to Durbin Park. September 2026, UF Health will open UF Health Durbin Park Hospital, a transformative new health care destination in St. Johns County, Florida. Rising five stories and spanning approximately 220,000 square feet, this state-of-the-art hospital will feature 99 inpatient beds designed for comfort, innovation and exceptional outcomes. In addition, UF Health Durbin Park Hospital will feature a 24-hour Emergency Department. Built to serve a growing community, UF Health Durbin Park Hospital brings advanced medicine, leading specialists and trusted UF Health expertise closer to where you live and work - so world-class care is never far away. Also conveniently located on the UF Health Durbin Park campus is a medical office building, featuring medical specialty services. This is more than a hospital. It's a commitment to the future of health care in Northeast Florida. Responsibilities: The Registered Nurse (RN) is responsible for managing the individualized patient care by promoting and restoring patients health through the nursing process. The RN provides direct patient care, including assessment, diagnosis, planning implementation, evaluation, and patient health education within the guidelines of the standards of nursing care. This is a full time night shift position. 7pm-7am Qualifications: Required Education: Associate's Degree in Nursing BSN within 3 years of hire Required license/certifications: Licensed RN in the State of Florida BLS ACLS Required experience: 1-2 years of related Critical Care experience. Preferred Experience: 2 years of relevant experience

  • Jacksonville Beach, FL

  • no content

Registered Nurse (RN) Durbin Park Night Shift Full Time

Overview: Expert Care Is Coming to Durbin Park. September 2026, UF Health will open UF Health Durbin Park Hospital, a transformative new health care destination in St. Johns County, Florida. Rising five stories and spanning approximately 220,000 square feet, this state-of-the-art hospital will feature 99 inpatient beds designed for comfort, innovation and exceptional outcomes. In addition, UF Health Durbin Park Hospital will feature a 24-hour Emergency Department. Built to serve a growing community, UF Health Durbin Park Hospital brings advanced medicine, leading specialists and trusted UF Health expertise closer to where you live and work - so world-class care is never far away. Also conveniently located on the UF Health Durbin Park campus is a medical office building, featuring medical specialty services. This is more than a hospital. It's a commitment to the future of health care in Northeast Florida. Responsibilities: The Registered Nurse (RN) is responsible for managing the individualized patient care by promoting and restoring patients health through the nursing process. The RN provides direct patient care, including assessment, diagnosis, planning implementation, evaluation, and patient health education within the guidelines of the standards of nursing care. This is a full time night shift position. 7pm-7am Qualifications: Required Education: Associate's Degree in Nursing BSN within 3 years of hire Required license/certifications: Licensed RN in the State of Florida BLS ACLS Required experience: 1-2 years of related Critical Care experience. Preferred Experience: 2 years of relevant experience

  • Atlantic Beach, FL

  • no content

RN - Emergency Department - 10a-10p or 11a-11p

Job Description Job Description Location : CHA Cambridge Hospital Category : Registered Nurse Department : Emergency Department CH Job Type : Part Time Union Name : MNA Cambridge Work Schedule: Day / Evening Shift Details: 10a-10p or 11a-11p Hours/Week: 24.00 Weekend Requirements: Yes Holiday Requirements: Yes Experienced ED RNs may be eligible for up to $20,000 in bonuses! We aren't as big as other Boston-area systems - and we think that's a good thing. At CHA, the employees that make up our diverse team are known, valued and appreciated. They also have the freedom to innovate. Our relationships with each other embody our values –community, integrity, respect, compassion, learning and excellence. We're proud of the awards our team has won: Forbes Best America's Employers, 2024 Newsweek America's Greatest Workplaces for Diversity, 2024 LGBTQ Healthcare Equality Index Leader by Human Rights Campaign, 2024 And we're pleased to offer our team robust benefits that include: Our award winning Wellness Program Employees who work 20 hours per week are benefit eligible $0 co-pay on prescriptions filled at CHA Pharmacies (when enrolled in a CHA medical plan) Tuition Reimbursement Employee Assistance Program Ongoing staff development and career advancement opportunities Commitment to fostering a diverse, equitable, inclusive, and anti-racist culture across our organization Job Details CHA provides 24-hour emergency care at our Cambridge and Everett Hospitals. We are one of the busiest emergency services in Massachusetts with approximately 100,000 combined annual visits and have been recognized nationally as one of the most efficient emergency services in the nation. Highlights include a state-of-the-art patient triage and tracking system, a streamlined admission process that helps us get the sickest patients to a hospital bed sooner, rapid assessment protocol to help prioritize our work, a BIDMC tele-stroke program, and an integrated Psychiatric Emergency Services at Cambridge Hospital. The Emergency Department RN will be responsible for the following: Will provide quality care to acute patients and their families according to Cambridge Health Alliance standards of nursing practice. Will assess, plan, implement, and document patient care in a professional manner. Will also possess excellent communication and interpersonal skills. This is a fast-paced, high-pressure, constantly changing environment with rapid patient turnover. Qualifications/Experience: RN must be a graduate of an accredited school of nursing. BSN preferred. Current MA RN license required. 1 - 2 years of Emergency RN experience. American Heart Association for Healthcare Providers BLS, ACLS and PALS certifications required. TNCC preferred. Basic computer EMR proficiency required. All newly hired candidates must successfully complete a job specific physical agility exam. Please note that the final offer may vary within the listed Pay Range, based on a candidate's experience, skills, qualifications, and internal equity considerations. In keeping with federal, state and local laws, Cambridge Health Alliance (CHA) policy forbids employees and associates to discriminate against anyone based on race, religion, color, gender, age, marital status, national origin, sexual orientation, gender identity, veteran status, disability or any other characteristic protected by law. We are committed to establishing and maintaining a workplace free of discrimination. We are fully committed to equal employment opportunity. We will not tolerate unlawful discrimination in the recruitment, hiring, termination, promotion, salary treatment or any other condition of employment or career development. Furthermore, we will not tolerate the use of discriminatory slurs, or other remarks, jokes or conduct, that in the judgment of CHA, encourage or permit an offensive or hostile work environment. Cambridge Health Alliance brings Care to the People - including your neighbors, friends and family. Our local hospitals and care centers serve our vibrant, diverse communities, and play an integral role in improving health. As passionate advocates for the underserved, we actively partner with our communities to take on challenging public health issues, and conduct important research to help reduce barriers to care. We believe that everyone deserves access to high quality, convenient health care. This is why our employees believe in where they work and why many build long, rewarding careers at CHA. Healthcare is changing rapidly. CHA has a strategic plan that charts a proactive course for our future. It is built on a vision of equity and excellence for everyone, every time. It also recognizes that our workforce is our most valuable asset and prioritizes competitive salaries, benefits and professional development opportunities for employees. The strategic plan is changing the way we provide care and improving the health and experience of our patients; we are looking for smart, committed, compassionate people who want to be part of making our vision of better health and equity a reality. At CHA, you can believe in where you work and go home every day knowing you made a difference. Join our team and help us bring Care to the People.

  • North Cambridge, MA

  • no content

Associate Criminal Defense Attorney

Job Description About Ben Hall Law \n Ben Hall Law is a small, but rapidly growing law firm in East Lansing, handling criminal defense and personal injury matters. We also represent a state agency in child abuse & neglect matters in multiple counties. \n \n Ben Hall Law was shaped by Ben's years of public service before entering private practice. His experience in the Marine Corps, law enforcement, and prosecution gave him a firsthand view of how institutions operate—and how much power they can bring to bear on an individual. \n \n That experience now informs both sides of the firm's work. In criminal defense, it helps us understand how police investigate cases and how prosecutors assess evidence. In personal injury matters, it reinforces the importance of careful investigation, documentation, and holding powerful organizations accountable when their actions harm someone. \n \n The firm's philosophy is straightforward: know the facts, know the system, and prepare thoroughly. We do not assume that an accusation is correct, that a report tells the whole story, or that an insurance company's first position is fair. We investigate, ask questions, and build the case from the evidence outward. \n \n Our core values: Fun, Accountability, Service, Teamwork, Integrity, and Excellence (FASTIE). They're not on a wall—they're how we decide who gets hired, how work gets judged, and what we tolerate. If that resonates, keep reading. \n \n Our mission: To provide determined, high-quality representation to people facing powerful opponents—whether that's the government in a criminal case or an insurer after a serious injury. We protect our clients' rights, give them clear guidance, and pursue outcomes that help them regain control of what comes next. \n \n Our vision: To build a Michigan law firm known for principled, effective advocacy in both criminal defense and personal injury. We want clients to know that when the stakes are high, they have a team that understands the system, takes their situation seriously, and is prepared to fight for them. \n \n Position: Associate Attorney—Criminal Defense \n \n \n Position overview \n The Associate Attorney will handle criminal matters from arraignment through trial, sentencing, and appeal across multiple Michigan counties, working under the direction of the practice group's team lead. This is a developing role: you'll carry a caseload sized to your experience, build motion and trial skills case by case, and earn more independence as you prove yourself. \n \n This is not a passive role. You'd be building your own trial skills inside a firm centered on client outcomes, not billing a clock. Compensation and advancement here track performance and results, not hours logged or busy work. \n \n The firm does not accept two case types: matters where the client is accused of killing or attempting to kill a police officer, and criminal sexual conduct cases involving a child victim. Outside those two exclusions, the caseload is wide-ranging. \n \n This is not a role for someone who thinks being an attorney means set hours. We believe in work-home integration , not a fixed schedule. Some weeks the job only takes four or five working days. Others demand six. Some days you're done by mid-afternoon. Others start with an early-morning arraignment. If you can't accept both sides of that, you will not be successful here. \n \n \n This job is not for you if… \n We believe in being direct. This is a strong opportunity for the right person, and the wrong fit for most people. Do not apply if: \n \n ✕ You prefer to work alone. This is a team environment. You'll work closely with our team lead, case manager, and support staff on every file. Lone wolves will not thrive here. \n ✕ You're uncomfortable with accountability. There is one standard way of doing things here—with KPIs, with standards—and every attorney, junior or senior, is held to it. \n ✕ You've made peace with "good enough." We outwork the prosecutor. Every time. If a plea that's merely adequate is your ceiling, this isn't the place. \n ✕ You have a "not my job" mentality. If you're keeping score of what's technically your responsibility, this isn't the right environment. \n \n \n Key responsibilities \n \n Represent clients in criminal matters, from arraignment through trial, sentencing, and appeal, under the direction of the team lead. \n Build and manage a caseload sized to your experience, with efficiency and scope discipline. \n Draft and argue motions, including suppression and dispositive motions, with guidance from senior attorneys. \n Communicate with clients in plain language your grandmother would understand and be proud of. \n Take part in a rotation for after-hours, weekend, and holiday emergency calls—arrests, arraignments, bond hearings. \n Engage constructively with judges, prosecutors, and public defender offices across the practice area. \n Take direction well, and take initiative once you've earned the trust to do so. \n Other duties as assigned. \n \n \n \n Required qualifications \n \n Active Michigan law license in good standing, or eligible to sit for the bar exam before your start date. \n 0-3 years of criminal law experience—prosecutor's office, public defender, judicial clerkship, or private criminal defense practice all count. \n Working knowledge of Michigan criminal procedure, the Michigan Rules of Evidence, and sentencing guidelines scoring, with a genuine willingness to deepen it fast. \n Strong legal writing skills, including the ability to draft a clean motion. \n Comfortable with technology and willing to adapt to new tools, including case management systems and AI. \n Ability to reliably commute to court appearances across assigned counties. \n Genuine alignment with the firm's values: Fun, Accountability, Service, Teamwork, Integrity, Excellence. \n \n \n \n Preferred qualifications \n \n Judicial clerkship, prosecutor's office, or public defender experience. \n Courtroom experience, even from law school—mock trial, trial advocacy competitions, or externships. \n Existing familiarity with our core counties and courts. \n Genuine interest in the firm's police officer defense niche. \n Interest in cross-training on personal injury matters as the practice grows. \n Prior personal injury experience \n \n \n \n What we're looking for \n The right candidate brings more than a law degree. We're looking for someone who: \n \n Treats defense work as a calling, not a job—someone who wants to stand between a client and the full weight of the government. \n Wants to build a career here, not log time until something better comes along. \n Puts the client's authority over their own case first, while learning to give clear, unhedged advice on what the evidence actually shows. \n Is coachable. Takes feedback without getting defensive, and holds themselves to the standard before anyone has to ask. \n Brings genuine warmth to a system that rarely offers it. \n \n \n \n Compensation & benefits \n Compensation ties to performance and outcomes, not hours logged or busy work. \n \n Salary: $85,000-$105,000, depending on experience and qualifications (DOE/DOQ), plus bonus \n Paid time off: 4 weeks annually \n Sick leave: 1 week annually \n Retirement: 401(k) with 4% match \n Health insurance: Medical, dental, and vision \n Disability insurance: Short-term and long-term \n Life insurance: Firm-provided \n Professional development: Support for CDAM, MIDC, and other criminal defense conferences and training \n \n \n \n How to apply \n You must follow these instructions. \n \n \n Submit your resume and cover letter. \n Address your cover letter to Mr. Vincent Gambini. In your cover letter, tell Mr. Gambini why this role appeals to you and how you see yourself fitting into our culture. Include your salary expectations within the posted range and what the firm can expect from you at that salary. \n Cover letters or candidates that don't follow these instructions will not be considered. \n

  • Michigan, ND

  • no content

Senior Lead AI Engineering (GenAI Platform Services: Agentic Systems)

Senior Lead AI Engineering (GenAI Platform Services: Agentic Systems) 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 New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $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 4901-4920; 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 1-800-304-9102 or via email at [email protected] . 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 [email protected] 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

Lead Machine Learning Engineer

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor’s degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3 years of experience building production-ready data pipelines that feed ML models 3 years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2 years of experience developing performant, resilient, and maintainable code 2 years of experience with data gathering and preparation for ML models 2 years of people leader experience 1 years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $215,200 - $245,600 for Lead Machine Learning 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 4901-4920; 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 1-800-304-9102 or via email at [email protected] . 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 [email protected] 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 Machine Learning Engineer

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What You’ll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor’s Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 1 years of experience building, scaling, and optimizing ML systems 1 years of experience with data gathering and preparation for ML models 2 years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 3 years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored or co-authored a paper on a ML technique, model, or proof of concept 3 years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). 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. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning 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 4901-4920; 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 1-800-304-9102 or via email at [email protected] . 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 [email protected] 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).

  • Capitol, VA

  • no content

Senior AI Engineer (AI Foundations)

Senior 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 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience 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 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: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior 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 4901-4920; 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 1-800-304-9102 or via email at [email protected] . 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 [email protected] 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