Staff Machine Learning Engineer (Research Scientist) - DFAI Plaid IncStaff Machine Learning Engineer (Research Scientist) - DFAISeattle, WAPhD: 5-9+ years of industry experience with evidence of technical leadership (tech lead, principal/staff-equivalent roles) and end-to-end production ownership. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.
Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI Deloitte Touche Tohmatsu LtdResearch Engineer - Post-Training & Small Language Models (SLMs), Healthcare AISeattle, WA$189,200–$372,900 / yearDeloitte brings together AI researchers, modeling and platform engineers, architects, clinical and domain specialists, and product leaders to build, deploy, and operate verticalized AI systems across software, data, models, and cloud infrastructure - engineered for one of the most complex operating environments in the world. Three hundred fifty million Americans rely on a healthcare system whose decision-making has become slow, costly, and adversarial - care delayed by prior authorization and paperwork, claims that misfire, clinical decisions made without the right information at the right moment, and patients who struggle to navigate or afford the care they need.
Senior Research Scientist Zap EnergySenior Research ScientistEverett, WashingtonManage or lead the design, fielding, and operations of multiple plasma diagnostic systems (interferometry, spectroscopy, neutronics, Thomson scattering, magnetics, etc.) . Manage and/or perform data analysis, reduction, error propagation, publication, and presentation of experimental results, including computational results .
Senior System Software Engineer - Neural Graphics SDKs NVIDIASenior System Software Engineer - Neural Graphics SDKsRedmond, CaliforniaOur team builds the Omniverse NuRec SDK to enable robotic, healthcare, and AV developers to build better models faster with closed-loop validation and closed-loop training grounded in real-world scenarios. Influence software architecture, validation strategy and technical roadmaps to ensure outstanding usability for our developers across many fields, from research to large-scale production use.
Senior Software Engineer - VLM Microservices for Neural Reconstruction NVIDIASenior Software Engineer - VLM Microservices for Neural ReconstructionRedmond, CaliforniaOur team builds the Omniverse NuRec SDK to enable robotic, healthcare, and AV developers to build better models faster with closed-loop validation and closed-loop training grounded in real-world scenarios. Design, build, and optimize containerized inference execution for the latest 3D VLMs from NVIDIA, turning research work into production-grade, highly optimized software (NIMs, NVIDIA Inference Microservices).
People Research Scientist, Recruiting AnthropicPeople Research Scientist, RecruitingSeattle, WAThis role sits at the intersection of organizational science, behavioral research, and people strategy - developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Senior Research Scientist, Rendering NVIDIASenior Research Scientist, RenderingRedmond, WashingtonAs an NVIDIAN on the Real-Time Graphics research team, you’ll serve as the “high-beams” of NVIDIA’s rendering innovation, responsible for discovering, defining, and driving the future of the field—inspiring customers by addressing problems they never imagined to be solvable. We are looking for a Senior Research Scientist passionate to define the next generation of real-time path tracing, physically based sampling and lighting, denoising, and solving related systems challenges.
Machine Learning Platform Engineer, Apple Services Engineering Apple IncMachine Learning Platform Engineer, Apple Services EngineeringSeattle, WAAirflow, or similar) Distributed compute experience (Ray, Dask, or Kubernetes-based job systems) Experience with experiment tracking or ML lifecycle tooling (Weights & Biases, MLflow, etc.) Startup or early-stage experience where you wore multiple hats and shipped under constraint. Experience working on developer platforms, internal tools, or SDKs Production experience with LLM/agent systems - building, evaluating, or operating them Familiarity with job orchestration frameworks (Temporal.io,
Staff Software Engineer, Product AnthropicStaff Software Engineer, ProductSeattle, WAYou'll work closely with designers and product managers to bring features from concept to shipped experience, obsessing over the details that make the difference: how something feels when you first land on it, how smoothly a new interaction flows, how an interface holds up under real-world use. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Security Software Engineer, Detection & Response Platform AnthropicSecurity Software Engineer, Detection & Response PlatformSeattle, WAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Staff Machine Learning Platform Engineer, AI Evaluation Apple IncStaff Machine Learning Platform Engineer, AI EvaluationSeattle, WAExperience with distributed compute frameworks (Ray, Dask) Background in startup or early-stage environments where you wore multiple hats Familiarity with LLM token economics, rate limiting, and cost management at scale. Drive org-level evaluation strategy: Work with your technical manager to assess workload across engineers, set priorities, and define how self-service evaluation reaches every team at Apple.
Staff+ Software Engineer, Full-Stack AnthropicStaff+ Software Engineer, Full-StackSeattle, WAWe're currently building for three verticals, with more to come: Life Sciences - an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. We'll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.
Senior Software Engineer, Full-Stack AnthropicSenior Software Engineer, Full-StackSeattle, WAWe're currently building for three verticals, with more to come: Life Sciences - an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. We'll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.
Staff+ Software Security Engineer AnthropicStaff+ Software Security EngineerSeattle, WAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Staff Software Engineer, Claude Code AnthropicStaff Software Engineer, Claude CodeSeattle, WAThe ideal candidate will have a passion for developer tools, extensive knowledge of diverse programming environments and languages, and experience with advanced LLM features like tool-use, chaining and orchestration patterns, and prompt engineering. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Staff+ Software Engineer, Privacy AnthropicStaff+ Software Engineer, PrivacySeattle, WAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. You'll sit within our Data Infrastructure team, architecting privacy-preserving systems, leading the implementation of privacy-enhancing technologies across our infrastructure, and providing technical leadership on privacy across engineering, research, and product teams.
Senior Software Security Engineer AnthropicSenior Software Security EngineerSeattle, WAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies.
Software Engineer Graduate (AI Infrastructure-Compute Efficiency & Scheduling) - 2027 Start Beijing ByteDance Technology Co LtdSoftware Engineer Graduate (AI Infrastructure-Compute Efficiency & Scheduling) - 2027 StartSeattle, WAWe are the team that decides how ByteDance's massive fleet of computers gets used - turning hundreds of large-scale clusters and millions of daily workloads (from microservices to big data to the largest AI/LLM training and inference jobs) into a system that is highly efficient, reliable, and increasingly self-managing. At the heart of this is our own intelligent scheduling platform, Godel (open-sourced to the community), together with the systems that manage compute, memory, and power across our global data centers in North America, Europe, and Asia-Pacific.
Physical Security Engineering Manager, Data Center Design Engineering, Data Center Design Engineering Amazon.com IncPhysical Security Engineering Manager, Data Center Design Engineering, Data Center Design EngineeringHerndon, VASet the technical direction and quality bar for security designs - including construction drawings and specifications - covering cameras, access control systems, intrusion detection, perimeter fencing, gates, sallyports, hostile vehicle mitigation (HVM), and Perimeter Intrusion Detection Systems (PIDS) across Greenfield, Build-to-Suit (BTS), and Brownfield data center projects. As a Manager of Physical Security Engineering for Leased/Owned projects, you will lead a team of Physical Security Engineers (PSEs) responsible for delivering security designs across the full project lifecycle - from pre-design due diligence through construction administration and operational handoff - for AWS-owned and leased commercial data center campuses across the Americas region.
Staff Software Engineering Manager, Emergent AI Infrastructure Google LLCStaff Software Engineering Manager, Emergent AI InfrastructureReston, VA$207,000–$300,000 / yearFrom software to hardware, our teams are shaping the future of world-leading hyperscale computing with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Teams work all across the company in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day.