Senior Data Analyst - Special Projects (Cupertino)

Senior Data Scientist - Special Projects Cupertino, California, United States Software and Services Apple’s intelligent systems generate rich, multi-modal data from devices, sensors, software, and services. We’re looking for a data scientist who can bring clarity to this complexity — someone who can analyze diverse datasets, surface meaningful insights, and design intuitive tools that help teams understand and improve the intelligence behind Apple products. You’ll work across the full data lifecycle: discovering signals in large-scale distributed logs, building search and retrieval mechanisms to make data accessible, and crafting interactive visualizations and evaluations that guide product direction and system performance. Description Our team works at the intersection of hardware, software, and intelligence. We design the systems, infrastructure, and tools that enable Apple’s next generation of AI-driven experiences — from on-device middleware and distributed inference platforms to large-scale data pipelines, interactive analytics, and advanced developer tooling. We collaborate closely with hardware, robotics, ML, design, and platform teams to build end‑to‑end solutions that are performant, intuitive, and deeply integrated into Apple’s ecosystem. The work is hands‑on, highly cross‑disciplinary, and central to shaping how Apple’s intelligent systems evolve. Responsibilities Explore, analyze, and model large volumes of multi‑modal data from devices and cloud systems to identify trends, correlations, and anomalies. Design and build interactive dashboards, visualizations, and metrics that help engineering and product teams evaluate system behavior. Develop search, retrieval, and indexing strategies to make data more discoverable, usable, and actionable across teams. Partner with AI and robotics engineers to design evaluation frameworks, KPIs, diagnostics that assess data quality, model behavior, and system performance. Work with cloud engineers to shape how data is organized, stored, and exposed for efficient querying. Investigate data quality issues, define validation strategies, and recommend improvements to data collection and pipeline design. Collaborate with hardware, robotics, AI, and user experience teams to interpret data within the broader system context. Communicate insights clearly through written analyses, visual storytelling, and presentations to stakeholders. Minimum Qualifications Proven experience in data science, analytics engineering, or applied research roles. Strong proficiency in Python and common data analysis libraries. Expertise with data visualization tools or frameworks for building interactive dashboards. Experience querying and modeling data in SQL and NoSQL environments. Ability to analyze large‑scale, high‑dimensional, and multi‑modal datasets. Familiarity with designing or using search and retrieval systems for large‑scale data. Experience designing KPIs, evaluation metrics, and experiment analyses for complex systems. Strong statistical intuition and experience with exploratory data analysis and hypothesis testing. Ability to translate complex findings into clear, actionable insights for cross‑functional teams. Bachelor’s or Master’s degree in Data Science, Computer Science, Applied Mathematics, or related field, and 5 years of industry experience. Preferred Qualifications Experience working with data from distributed or real‑time systems, robotics, or multi‑modal AI. Familiarity with information retrieval techniques (ranking, embedding‑based search, relevance modeling) Experience collaborating with ML teams on evaluation methodologies, dataset design, or model diagnostics. Knowledge of metadata management systems, cataloging approaches, or data documentation strategies. Background in statistical modeling, time‑series analysis, or anomaly detection Experience with visualization frameworks used for large datasets. Understanding of cloud‑scale data processing and distributed compute frameworks. Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $141,800 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: comprehensive medical and dental coverage, retirement benefits, a range of discounted products and services and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, will eligible for discretionary bonuses or commission payments and relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. 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Senior Security Operations Engineer Seattle, Washington, United States (Seattle)

Senior Security Operations Engineer Seattle, Washington, United StatesSenior Security Operations Engineer Why join us Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders. What you’ll do As a Security Operations Engineer at Brex, you will focus on preventing, detecting and responding to security threats across Brex's corporate and cloud environments. You will use existing systems and develop tools to improve our security capabilities. Our team is responsible for functions across corporate security, detection & response and infrastructure security domains; and we perform systems engineering and automation to support those functions.Security Operations is part of our wider Trust & IT organization which means you will have the opportunity to work closely with Application Security, Corporate Engineering, GRC and IT and to improve security configurations, drive positive employee behaviors and generally work to prevent events from becoming incidents. You will also help build and maintain our team’s open source project and have the opportunity to contribute to the . You’ll be part of a team that actively contributes to the wider security community and has a commitment to mentorship and engineering excellence.We’re looking for individuals with a strong background and interest in detecting, responding to, and resolving security incidents and security challenges. You should be comfortable dealing with lots of moving pieces, changing priorities, and new technologies, while having a keen eye for detail. Most importantly, you should be enthusiastic about working with a variety of backgrounds, roles, and people across Brex. Building a world-class financial service requires world-class security. Where you’ll work This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Work on a highly cross-functional team to prevent, detect and respond to security threats across Brex's corporate and cloud environments* Perform security incident response, investigation, remediation, and documentation, participate in periodic threat hunting and security exercises* Leading, scoping and building features, participate in designing, and maintaining tools and systems which support the team’s domains – corporate security, detection & response and infrastructure security* Collaborating and partnering with engineering and operations teams to drive remediation of security issues, while balancing prioritization of those security issues within SLA and teams’ respective backlogs* Caring about secure system design, valuing building things correctly, an understanding of a MVP approach and an empathetic mindset when working with others Requirements * Bachelor’s degree in Computer Science, Engineering or related field OR equivalent training / fellowship OR 5 years work experienceExperience working in a corporate security, detection & response or infrastructure security role with responsibilities for security alert triage and security incident response* Familiarity with CI/CD systems and DevOps workflows (e.g. Buildkite, Flux, Git, Terraform) in cloud environments (e.g. AWS, Azure, GCP)* Experience with deploying and maintaining some of the security services and tools owned by the team (e.g. - SIEM, data pipelines, SOAR, domain monitoring, endpoint tooling, email protection tooling, cloud security tools)* While not primarily a development role, the team develops and maintains tools written in Go and Python, so experience with coding is required* You thrive in a collaborative environment filled with a diverse group of people with different expertise and backgrounds. We currently have around 30 nationalities represented with more than ½ the company working in a country different from the one they grew up in. Bonus points * Proficiency with Go and other programming languages* Experience with securing distributed systems in AWS, cloud and Kubernetes environments* Contributions to the wider technical community (open source, public research, mentorship, community organizing, blogging, presentations, etc) Compensation The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.*Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a domain. Any outreach claiming to be from Brex via other sources should be ignored.* J-18808-Ljbffr

Electrical Engineering Director (Poway)

Job Summary General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. We have an exciting opportunity for an Electrical Engineering Director! The Electrical Engineering Director is responsible for the leadership, planning, management, and technical performance of the Electrical Engineering Design organization. Reporting to senior technical leadership, this position oversees multidisciplinary engineering teams responsible for the design, development, integration, testing, and certification of unmanned aircraft systems (UAS). This role directs all phases of assigned engineering programs from inception through completion and is accountable for technical execution, schedule performance, quality, staffing, financial objectives, and customer satisfaction. We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. Duties & Responsibilities Direct all phases of design engineering programs including planning, technical execution, integration, testing and production to ensure quality, schedule, business, and financial objectives are attained. Collaborate closely with software engineering, mechanical engineering, manufacturing, quality, supply chain, human resources, program management, and executive leadership teams. Develop and implement current, annual and long-term technical, schedule, quality, business and financial objectives for the EE design engineering unit(s) and may also participate in the development of Group/Company objectives. Establish engineering design concepts, architecture, criteria, and development strategies for research, product development, testing, integration and certification activities. Lead engineering progress reviews focused on cost, schedule, technical performance, program risks and resource allocation. Identify technical and organizational challenges and implement corrective actions including resource realignment, schedule recovery planning, and scope adjustments when required. Ensure technical leadership and engineering excellence through recruiting, mentoring, developing and retaining high-performing engineering talent. Interact with senior management concerning matters of significance to the company. Act as primary contact for engineering activities. Other duties as assigned or required. Job Qualifications Typically requires a Bachelors, Masters or PhD in engineering or a related technical field as well as fifteen or more years of progressively complex design / electrical engineering experience with at least nine of those years having management responsibilities. May substitute equivalent experience in lieu of education. Proven track record delivering complex aerospace or defense programs on time and within budget. Demonstrated ability to manage multiple projects and engineering teams simultaneously. Extensive technical expertise in electrical and avionics system design and integration. Strong project management, organizational planning, scheduling and coordination skills. Ability to resolve highly complex technical and organizational challenges. Exceptional communication, leadership, presentation and interpersonal skills. Ability to effectively interface with executive leadership, customers, government representatives, suppliers, and multidisciplinary technical teams. Professional Engineering (PE) License and published technical works are considered desirable qualifications. Technical Expertise Aircraft avionics design for unmanned aircraft systems Power conversion and power system architecture Vehicle management system (VMS) design Servo driver design Flight computer design Solid-state switching systems Analog signal acquisition and filtering Design for EMI/EMC compliance Aerospace electrical system integration Environmental qualification and airworthiness certification Required Standards Knowledge MIL-STD-704 MIL-STD-810 MIL-STD-461 MIL-STD-464 DO-254 MIL-HDBK-516 Leadership Characteristics Strong technical judgment and practical engineering decision‑making Ability to apply urgency and resources appropriately when programs fall behind schedule Respect for and collaboration with subject matter experts Sound decision‑making regarding trade‑offs between cost, schedule, risk and technical perfection Strategic thinking combined with hands‑on execution capability Calm, effective leadership in fast‑paced and high‑pressure environments Commitment to technical excellence, accountability and continuous improvement Job Type Full‑Time Salary. Salary range: 155,370 - 289,320. J-18808-Ljbffr

Senior Staff Machine Learning Engineer - Ads (Mountain View)

Overview Talent Partner - Energizing talents // Empowering leaders at Coupang. We exist to wow our customers and disrupt the multi-billion dollar e-commerce industry from the ground up. Coupang combines startup culture with the resources of a large global public company, enabling bold, ambitious people to drive new initiatives and innovations. Our mission is to build the future of commerce by solving problems and pushing boundaries in an always-on, high-tech, and hyper-connected world. Role Overview Senior Staff Machine Learning Engineer for Coupang Ads Technology (Ads Tech). You will be responsible for developing and designing machine learning models, optimization algorithms, and new product features for our advertising platform. Ads Tech provides vendors with marketing products and services to advertise brands and products inside Coupang’s e-commerce site. This is an opportunity to help build a new development organization with strong revenue potential, constructing full-stack engineering teams to handle large-scale advertising problems such as real-time behavioral targeting, auctioning and bidding systems, and search-based advertising. The role includes innovating and building our ad quality stack for the ads platform and eventually extending it into a full ad exchange, DSP, and SSP. What You Will Do Design and implement large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using state-of-the-art techniques such as transformer-based models, contrastive learning and vector search Drive innovation in search relevance and user intent modeling using large language models (LLMs), embedding-based retrieval, and multi-modal learning Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence Define and track key performance metrics to evaluate model impact and identify high-leverage opportunities for improvement Collaborate cross-functionally with product, engineering and data science teams to align technical solutions with business goals and customer experience Mentor and grow engineering talent, fostering a culture of technical excellence, experimentation and continuous learning Basic Qualifications Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields 8 years of professional experience in applied machine learning Experience in machine learning, deep learning, and statistical modeling Proficiency in Python and/or Java, with experience in building production grade ML systems Preferred Qualifications Master’s or PhD in relevant technical fields • Experience with search systems, information retrieval or recommendation engines Experience with LLMs, embeddings, and vector search technologies Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker Experience working in startup or high-growth environments Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikitlearn, Keras, XGBoost, LightGMB, and H2o.ai Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders Demonstrated ability to work independently and manage ambiguity in fast-paced environments Compensation Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $159,000/year in our lowest geographic market to $324,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. Benefits Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of the Paid Time Off (PTO) a year based on the tenure 12 Public Holidays Paid Parental leave MTV - [Free] Electric Car Charging Station Other Compensation “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. Equal Opportunity Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team Location and other postings Get notified about new Machine Learning Engineer jobs in Mountain View, CA. J-18808-Ljbffr

Lead Software Engineer (Boston)

Overview A disruptive technology SaaS firm in Boston is looking to add a very senior to lead level engineer to their team to continue their strong growth. This is a full stack role where the candidate will have the opportunity to continue to architect, code, and design their payment and data reporting offering within their product. If you want to join an exciting start up in a niche industry that already has strong revenue and growth then this is the place for you. MUST LIVE IN THE Boston area because even though the role is remote the team enjoys getting together to collaborate on their solutions. This is an ideal role for a lead engineer/architect who would like to get into leadership in short order. Responsibilities Architecting and coding the payment and data reporting systems as well as implementing their Banking as a Service offering. Build and maintain comprehensive data reporting solutions while also being able to lead data strategy for the firm. Build secure standards for data security as well as payment gateways. Collaborate with team and management on new initiatives and ideas to drive the product forward. 7 years of software engineering and architecture Full Stack TypeScript engineering Tech stack is TypeScript, Convex, React, Node.JS, GCP, and Snowflake Strong full stack and back end data engineering skills Qualifications 7 years of software engineering and architecture Full Stack TypeScript engineering Tech stack is TypeScript, Convex, React, Node.JS, GCP, and Snowflake Strong full stack and back end data engineering skills Details Interviews occurring now. NO Third parties! No C to C. Must be a US Citizen or Green Card Holder Excellent communication skills Salary in the $180-225k range with solid benefits and equity Location: Boston area (role is remote but requires on-site collaboration) J-18808-Ljbffr

Manager, Software Engineering (San Francisco)

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. The Work Manage a team maintaining infrastructure, Internal Development Platform, and Ripple product accessibility. The role will span overseeing the development and reliability of key infrastructural components related to compute, build, integration, deployment, secure access among others. You are someone who is acutely focused on site reliability but also has a close pulse on the internal engineering experience, and makes good tradeoffs on what to build and why. You understand how to build Internal Developer Platforms and ways to make continual progress and delivery without getting bogged down by complexity. You have good mechanisms to assess reliability, availability, latency and cost and ensure the right instrumentation is in place to enable these to be reviewed and improved. You are a force multiplier for developers and application owners in the organization. What you’ll do Lead and inspire a team of Infrastructure engineers to continuously deliver availability and reliability of Ripple products Have good instincts for Platform Engineering and developing Internal Developer Platforms Building and operating production software at internet scale Balancing bias to action with the ability to make well-informed bets Collaborating closely with our key partners as well as engaging directly with engineering customers to understand their needs and improve their experience Owning, crafting, and maintaining processes and tooling for infrastructure organization, while incorporating your own tooling and processes. Support operations for infrastructure features and services Build in observability for internal infrastructure services as well as provide related observability frameworks for applications Minimize our mean time to resolve incidents by reacting to monitoring alerts, problems reported by employees or customers in a timely manner What you’ll bring Strong familiarity with AWS tools and services 10 years of total experience with 5 years of management experience in building and leading diverse software infrastructure engineering teams. Experience building & operating highly reliable distributed systems in a cloud environment Customer-focused curiosity, passion for technology, pragmatic thinking, ability to jump into an ambiguous area, and break down complex problems Demonstrated experience in improving the reliability and operational automation of complex, multi-tier systems A strong product mindset along with experience in delivering large complex projects collaborating with a variety of cross-functional stakeholders that are technology, operations or business focused. Experience with monitoring systems and incident management Experience operating software as a service Experience working in the FinTech a plus Experience participating in incident response For positions that will be based in CA, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. CA Annual Base Salary Range $208,000 — $260,000 USD Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Mobile phone stipend Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. J-18808-Ljbffr