Machine Learning Engineer Jobs

Job Title AI Senior Systems Engineer (AI for RAMS & Systems Engineering) Job Description As an AI Senior Systems Engineer, you will help shape the future of Systems Engineering at Philips by driving the application of Artificial Intelligence within Systems Engineering and Reliability, Availability, Maintainability and Safety Engineering (RAMS) practices. You will identify opportunities where AI can enhance engineering activities, improve engineering productivity, and increase the quality, consistency, and traceability of engineering deliverables throughout the product development lifecycle. Acting as a thought leader and trusted advisor, you will help engineering teams understand, adopt, and effectively apply AI technologies within their daily engineering work. Working closely with systems engineers, RAMS engineers, architects, software teams, and AI specialists, you will bridge the gap between engineering challenges and emerging AI capabilities. You will contribute to the evolution of engineering methodologies, tools, and best practices that enable the next generation of AI-enabled Systems Engineering and RAMS Engineering at Philips. Your role: Drive the adoption of AI within Systems Engineering and RAMS practices across Philips. Identify, develop, and scale AI use cases for requirements engineering, system architecture, modelling, verification, validation, traceability, and engineering knowledge management. Identify, develop, and scale AI use cases for RAMS engineering like FMEA, data analysis, HALT/ALT, Modelling Simulation & Analysis, for Hardware and Software Support engineering teams in evaluating and implementing AI-enabled engineering workflows, methods, and tools. Coach and educate Systems Engineers, RAMS Engineers, Architects, and technical leaders on the opportunities, limitatio

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Join Our Team as a STAFF ENGINEER, TDT PD CMP At Micron, we are driven by the pursuit of excellence and innovation. As a Chemical Mechanical Planarization (CMP) Process Development Engineer, you will play a key role on our Technology Development Taiwan (TDT) CMP team. You will contribute to the progress of our innovative DRAM technology. If you have a passion for semiconductor development and enjoy working in a dynamic and collaborative environment, we invite you to join us in defining the future of the semiconductor industry! Key Responsibilities Develop and refine CMP processes to support advanced DRAM technology acceleration. Collaborate with diverse teams to develop new outstanding semiconductor devices. Perform rigorous process characterization, develop new consumables, and evaluate new hardware. Conduct groundbreaking research and innovate to contribute to Micron’s extensive patent portfolio. Drive continuous process and efficiency improvements to meet yield, quality, and cycle time requirements. Direct and manage CMP consumables and equipment suppliers. Plan and complete well-designed experiments, presenting results in clear and concise reports. Minimum Qualifications Proficiency in both Chinese and English languages. Expertise in CMP process development. Hands-on experience with CMP polishing equipment, including familiarity with equipment operation, optical metrology, profilometry, common polishing

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. The Opportunity Adyen is building a top-tier AI engineering organization in Amsterdam, San Francisco and Madrid to drive our next chapter of innovation using AI globally across the entire company. This is a highly technical, hands-on role focused on the exploration and application of cutting-edge AI research within the financial technology sector. As a Senior AI Research Engineer, you will operate with a high degree of autonomy and responsibility , delivering strategic, high-impact outcomes that bridge the gap between advanced AI research and production-grade applications at a global scale, potentially impacting trillions of dollars in transactions annually. What You'll Do: Innovate and Deploy: Drive the execution of Adyen's AI strategy , focusing on the practical application of Generative AI (GenAI) and other AI methodologies in finance . This includes contributing to Adyen's efforts in key research areas such as AI agents for data analysis and operational workflows , human-in-the-loop for integrity risk , and development of foundation models . For instance, you might contribute to initiatives like the Data Agent Benchmark for Multi-step Reasoning (DABStep) , which evaluates AI agents on real-world data analysis tasks, including those from the financial sector. Build Production-grade Applications: Bridge the gap between cutti

Job Details: Job Description: The Role and Impact As a GPU Platform Hardware Design Engineer, you will play a pivotal role in designing and developing high-quality GPU hardware platforms that drive innovation in high-performance computing, graphics, and visualization technologies. You will lead the design process from initial feasibility studies through board layout, tapeout, and platform power-on, ensuring robust functionality and compatibility with industry standards. Your expertise in platform-level requirements, electrical engineering applications, and system bring-up will directly contribute to delivering cutting-edge GPU systems that accelerate Intel's leadership in computing. Business group The Data Center Group (DCG) is dedicated to advancing Intel's role in powering the digital world with leading-edge technologies. Focused on delivering innovative solutions for data center and cloud environments, DCG supports high-performance computing and graphics to enable capabilities such as AI, machine learning, and advanced visualizations. As part of the GPU IP Engineering team within DCG, you'll contribute to developing GPU systems that meet the evolving demands of the industry while supporting Intel's broader mission to create world-changing technology. Key Responsibilities - Design, develop, and evaluate electronic components, PCBs, and integrated circuits for GPU hardware platforms. - Translate platform-level requirements into detailed specifications and ensure adherence throughout the design process. - Define component placement and trace routing rules to optimize board layouts for performance, power, and signal integrity. - Conduct feasibility studies, board layout, tapeout, and platform power-on activities. - Perform functionality tests and utilize tools to verify platform configurations and compatibility. - Research, develop, and validate firmware, hardwa

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's Compute org is in hyper growth. As it scales, the systems and workflows that keep supply and demand balanced across our GPU fleet need to get more sophisticated, and this role exists to make sure they do. Compute sits at the center of how Baseten allocates, forecasts, and manages the capacity that powers every customer inference request. The team that supports this work, C3, runs on a mix of internal tooling, manual processes, and systems that haven't fully kept pace with the scale of the problem. This role exists to close that gap. You'll design, build, and ship AI-powered workflows that give the Compute and C3 teams real leverage, automating the manual, repetitive, and error-prone parts of the capacity lifecycle so the team can focus on judgment calls that actually need a human. We want someone who can walk in, audit what exists today, identify what's missing or broken, and start shipping fast. You know when to reach for an existing internal tool and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader capacity systems architecture tomorrow. And you bring a point of view on our stack, on what we should be building, and on where AI can do something existing tooling simply can't. RESPONSIBILITIES Ship AI-powered workflows for Compute and C3 : build the agents and automations that give capacity analysts, ops leads, an

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we're building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role Anyscale is looking for a Software Engineer to join the ML Developer Experience (MLDevX) team. MLDevX owns the experience layer of the Anyscale platform: the interfaces through which users and coding agents discover, configure, run, observe, debug, and productionize AI workloads. Every user journey crosses this layer through the CLI, SDKs, APIs, UI, Workspaces, MCP, or the workflows and integrations built on top of them. Together, these form the user’s primary interface into Anyscale, turning distributed computing from a systems problem back into a coding problem. We build the common contracts, tools, control-plane services, and architecture that power these surfaces. You will work across the stack from developer tooling to cloud infrastructure and the Ray runtime. Manage long-running operations and make failures across jobs, tasks, actors, nodes, and GPUs easier to diagnose. The systems you build must scale with the platform, remain predictable through failures, and be intuitive for developers, programmable for applications, and operable by coding agents. This is a high impact individual-contributor role with end-to-end ownership. You will work directly with users and field teams to identify high

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale's product security needs are growing as we ship to larger and more demanding customers. We're looking for a Senior Product Security Engineer to own our secure software development lifecycle and to be engineering's partner on building security into the product. Reporting to the Head of Security, you will work in close partnership with engineering. This is a senior, high-ownership role. You will own and operate a scalable SSDL, partner with engineering on security features and secure design, review the security of existing systems and new initiatives, and own how we find, track, drive to resolution and report on vulnerabilities in what we ship. This role is based in India. In your first year, success looks like an SSDL that scales with engineering rather than gating it, security review embedded in how new initiatives ship, and accurate, on-demand vulnerability reporting backed by a working path to resolution. What You'll Do Own and operate a scalable secure software development lifecycle: threat modeling, security requirements, secure design practices, and scanning that engineering can readily adopt. Partner with engineering on security features and secure-by-design architecture, from early design through i

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: As a Site Reliability Engineer, you will play a crucial role in ensuring the smooth operation of all user-facing services and other Anyscale production systems. Anyscale values diversity and inclusion, and we encourage applications from individuals of all backgrounds. This includes processes for provisioning, negotiating prices, managing costs, seeing opportunities for teams to reduce wastage by finding applications across the company. You will apply sound engineering principles, operational discipline, and mature automation to our environments and the Anyscale codebase as we scale. As part of this role, you will: Develop a unified perspective on how cloud components are utilized across the company, taking into account diverse needs and requirements. Ensure that deployment methodologies align with the company's reliability goals. Build systems that promote understanding of production environments, facilitating quick identification of issues through robust observability infrastructure for metrics, logging, and tracing. Create monitoring and alerting systems at different levels, enabling teams to easily contribute and enhance the overall monitoring capabilities. Establish testing infrastructure to s

Become a part of our caring community Humana is seeking a self-driven and collaborative Lead Engineer to join our Interactive Voice Response (IVR) team. In this role, you will deliver innovative IVR solutions and develop robust omnichannel APIs for our enterprise platforms. You will have the opportunity to drive the success of a high-impact, customer-facing application within a Fortune 50 company, working closely with multiple teams throughout the software development lifecycle (SDLC). Lead Engineer –Omnichannel Humana is seeking a self-driven and collaborative Lead Engineer to join our Omnichannel team. In this role, you will design, develop, secure, and enhance enterprise APIs that support high-impact, member facing, applications across Humana's digital and voice channels. This role offers the opportunity to modernize and strengthen existing API capabilities while helping deliver resilient, scalable, and secure omnichannel solutions within a Fortune 50 organization. Key Responsibilities Design, develop, and maintain scalable Omnichannel APIs that support enterprise applications and customer-facing capabilities. Enhance the security, resiliency, performance, and reliability of existing APIs through modernization, improved architecture, observability, testing, and operational controls. Apply AI and AI-assisted engineering practices to accelerate development, improve quality, automate testing, enhance documentation, and identify opportunities for optimization. Partner with architecture, security, cloud, product, engineering, and operations teams to deliver secure, resilient, and enterprise-aligned API solutions. Collaborate with agile teams to plan, track, and deliver API enhancements, platform improvements, and cloud-based capabilities. Develop proofs of

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten's GTM org is in hyper growth. As it grows and matures, the needs of the GTM stack get more sophisticated with scale — and this team exists to stay ahead of those needs. Our GTM Engineering team plays a critical role in building and maintaining the connective tissue across Baseten’s GTM tools, processes, and user experience for the field. The GTM tooling landscape is changing fast, and the teams that win are the ones that adapt and iterate the fastest. This role exists to make sure Baseten is one of them. You'll design, build, and ship AI-powered workflows that scale our GTM functions as a competitive advantage. We want someone who can walk in, audit what we have, identify what we're missing, and start shipping fast. You know when to reach for Clay and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader systems architecture tomorrow. And you bring a point of view — on our stack, on what we should be building, and on where AI can do something low-code tooling simply can't. RESPONSIBILITIES Ship AI-powered workflows for the field — build the agents and automations that give reps and managers real leverage, off-loading the manual and repetitive work. Reach for AI where it does something low-code can't. Get insights in front of reps — turn Salesforce, warehouse, and usage data into the dashboards, scores, and alerts reps

About the Team The Health team, within OpenAI’s broader Personal AGI organization, has a mission to ensure AGI improves health for all humanity. Improving human health will be one of the defining impacts of AGI. Hundreds of millions of people already turn to ChatGPT for questions about their health and millions of clinicians use it weekly to support care delivery. Increasingly capable models create an opportunity to make high-quality medical intelligence more accessible across patients and clinicians—raising the floor of human health—and accelerate the new capabilities and scientific advances that raise the ceiling of human health. Our job is to make those benefits real. We work across the full model stack—pretraining, midtraining, reinforcement learning, post-training, evaluations, harnessing, and deployment—and connect that research to the patients, clinicians, and real-world outcomes we aim to improve. About the Role We’re looking for an exceptional, hands-on researcher who wants to build frontier health capabilities and turn them into impact at scale. This is a role for someone who can take an important, underdefined problem from 0→1: identify the right bet, build what’s needed to test it, and drive it all the way to a measurable improvement in the models and products we actually ship. We’re especially excited about two kinds of people: researchers with the technical depth to move the frontier in pretraining, reinforcement learning (RL) / post-training, or evals; and researchers with real depth in developing frontier biomedical AI capabilities. Prior experience in healthcare is helpful but not required. Research excellence, velocity, ownership, and alignment with the mission are most important to us. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own a high-leverage research direction end to end—from deciding which problem matters and h

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Summary The Senior Flex Solution Engineer (SE) is a high-impact, customer-facing technical role supporting AI/Machine Learning (AI/ML) initiatives across our strategic US Major Accounts. This role is designed for a technical professional who possesses a strong foundation in AI/ML concepts, technologies, and solution architecture, positioning them above a generalist but not necessarily requiring deep specialization (Level 200-300 technical depth). The Flex SE will act as a critical, hands-on technical resource, accelerating customer adoption and success. This role translates business challenges into AI/ML- driven solutions through the rapid development of MVPs and prototypes, supporting our regional SE teams, and driving growth in this strategic area. The AE and SE maintain ownership and ultimate approval over the account strategy. The Flex SE role is designed to be supportive, not to supersede their authority. The RVP should provide prescriptive guidance on which accounts the Flex SE should prioritize, as the RVP possesses the most comprehensive regional overview. Key Responsibilities and Scope Technical Leadership & Solutioning Partner with regional Account Executives (AEs) and Solution Engineers (SEs) to identify, qualify, and develop AI/ML opportunities within USMajo

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We are looking for an IT Support / Operations Engineer to join Baseten as we continue to scale our IT team. In this role, you will play a critical part in bringing our technical support entirely in-house to provide a seamless, high-touch experience for all Baseten employees. As we continue to scale, you will be the primary point of contact for day-to-day technical issues, allowing you to have a direct impact on our team's productivity and overall office environment. This position is ideal for a hands-on problem solver who enjoys a mix of hardware and software troubleshooting, user lifecycle management, and maintaining the physical IT infrastructure of a modern office. While you will focus heavily on elevating our internal support standards, you will also assist with systems administration and workflow automation as our company evolves. This is a hybrid role based out of our San Francisco or New York office, following our standard policy of three days per week in-person to ensure our physical office and AV systems remain high-performing and reliable. RESPONSIBILITIES Serve as the escalation point for day-to-day technical support, diagnosing and resolving hardware and software issues across our Mac and Windows fleet Manage user lifecycle administration including provisioning, deprovisioning, and access management across all systems and services Own the IT onboarding experience for new employees — from laptop set

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We’re hiring a Data Engineer to build and scale Baseten’s internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw product and business data into reliable datasets that power decision-making. You’ll design the data models, pipelines, and analytics infrastructure that enable teams across Product, Engineering, Finance, Marketing, and Sales to understand usage and performance. This includes working with AI inference, infrastructure, and observability data to generate insights about the product, business operations and platform economics. You’ll partner closely with stakeholders to build robust, scalable pipelines, define company-wide metrics that inform strategy and planning. RESPONSIBILITIES Design and maintain core data models and semantic layers Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks Analyze inference and infrastructure telemetry , including data from OpenTelemetry, Grafana, and other observability tools Define and maintain company-wide metrics across product usage, performance, and customer lifecycle Enable self-service analytics through agents and tools, with well-structured semantic layers and context Ensure data reliability and quality through testing, documentation, and governance PREFERRED QUALIFICATIONS Understanding of inference metrics s

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE: As a Software Engineer at Baseten, you will own one of the most critical surfaces of our business: pricing, billing, and revenue infrastructure. As we launch more and more products— billing is no longer just operational plumbing. It is a strategic lever for growth. This role will establish clear ownership of billing as a function and create leverage for Finance, Sales, and GTM teams while maintaining a seamless customer experience. RESPONSIBILITIES: Own Baseten’s end-to-end billing and revenue infrastructure, including pricing, invoicing, metering, and reporting foundations. Build and evolve our billing platform and integrations (including Orb), ensuring correctness, auditability, and a high-trust experience for customers and internal teams. Partner closely with Finance, Sales, GTM, and Forward Deployed Engineering to turn real-world workflows into reliable internal tooling and automation (quoting, approvals, renewals, usage reconciliation, revenue reporting). Design systems that scale with new products, packaging, and go-to-market motions, making billing a strategic lever for growth. Drive reliability and operational excellence for revenue-critical workflows: monitoring, alerting, incident response, backfills, and clear runbooks. Lead from the front on high-impact projects: clarify requirements, propose crisp technical approaches, ship iteratively, and raise the bar on quality and velocity. Debug and resolve