Senior / Principal ML Scientist, Foundation Models For Life Sciences LILASenior / Principal ML Scientist, Foundation Models For Life SciencesSan Francisco, CA$268,000–$384,000 / yearYou will shape the technical direction for how ML models are trained, evaluated, and deployed at scale, collaborate closely with AI scientists and experimental researchers to close the computational-experimental loop, and drive Lila's ML infrastructure toward the next generation of capabilities. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
Software Engineer, Models Meter, Inc.Software Engineer, ModelsSan Francisco, CAIn addition to your customers, network engineers, you'll partner closely with two research engineers who have deep ML backgrounds and a clear picture of what training data needs to look like. When a network engineer looks at a set of device stats and figures out it's upstream packet loss - not a hardware failure, not a misconfiguration, specifically upstream packet loss - that reasoning lives in their head.
Staff Software Engineer, Model Serving DataBricksStaff Software Engineer, Model ServingSan Francisco, CA$192,000–$260,000 / yearYou will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class serving platform. Contribute directly to key components across the serving infrastructure - from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling - ensuring smooth and efficient operations at scale.
Machine Learning: Multimodal Foundation Models The Bot CoMachine Learning: Multimodal Foundation ModelsSan Francisco, CAImprove Cross-Modal Reasoning: Research and implement methods to ensure the model doesnt just "associate" modalities but actually reasons through them (e.g., grounding visual physics in kinematic constraints).Own the Training Loop End-to-End: Design, run, debug, and iterate on large-scale training experiments; diagnosing failure modes, improving data mixtures, and tightening evaluation to drive measurable gains. Ship and Iterate on Real Systems: Integrate models into real robotic stacks, build on robot code to deploy your models, and optimize performance for edge inference.
Senior / Principal Scientist, Foundation Models for life Sciences Lila Sciences IncSenior / Principal Scientist, Foundation Models for life SciencesSan Francisco, CA$268,000–$384,000 / yearFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
Principal Model Optimization Engineer Roblox CorpPrincipal Model Optimization EngineerSan Mateo, CA$295,250–$345,040 / yearEvery day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
NewStaff Product Manager, Model Lifecycle & Management PinterestStaff Product Manager, Model Lifecycle & ManagementSan Francisco, CARemoteAs a Senior Product Manager for Signal Lifecycle within Trust & Safety, you'll own the product strategy for the ML platform that powers how Pinterest trains, evaluates, deploys, and measures content safety models at scale. Own and drive the Signal Lifecycle product roadmap, including ML Flywheel infrastructure, auto-deployment, model onboarding, golden dataset management, and signal performance measurement.
Staff Software Engineer, Foundation Model Inference DataBricksStaff Software Engineer, Foundation Model InferenceSan Francisco, CA$190,000–$265,000 / yearThe impact you will have: Build LLM infrastructure powering large-scale inference workloads for customers through partner models (OpenAI, Anthropic, Gemini) and self-hosted models (Qwen, GPT-OSS, Llama). More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.
ML Scientist I / II, Foundation Models for Life Sciences Lila Sciences IncML Scientist I / II, Foundation Models for Life SciencesSan Francisco, CA$176,000–$304,000 / yearFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. You will work on generative models spanning biological sequences, molecular structures, and multimodal experimental data, contributing to problem formulation, model design, training, evaluation, and integration into Lila''s closed-loop discovery engine.
Software Engineer - Voice Model TwitterSoftware Engineer - Voice ModelPalo Alto, CA$150,000–$450,000 / yearWork on pre-training and post-training of speech-language models, with targeted enhancements through supervised fine-tuning, reinforcement learning, and other techniques to ensure Grok Voice responses are accurate, factually grounded, natural and idiomatic in spoken style, conversational in tone, and fluent across multiple languages. Build and iterate a comprehensive evaluation framework covering objective metrics (accuracy, quality, latency, expressiveness), human preference studies, content factuality assessments, real-time interaction quality, and experimentation infrastructure to measure and improve performance.
NewSoftware Engineer - Model Performance BasetenSoftware Engineer - Model PerformanceSan Francisco, CaliforniaBy 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. Implement, refine, and productionize cutting-edge techniques (quantization, speculative decoding, KV cache reuse, chunked prefill and LoRA) for ML model inference and infrastructure.
Research Engineer - Audio & Speech Models ZyphraResearch Engineer - Audio & Speech ModelsSan Francisco, CaliforniaAs a Research Engineer - Audio & Speech Models , you will be a core contributor on Zyphra’s Audio Team, building the next generation of open-source autoencoders, ASR, TTS, SSL, and speech-to-speech models. Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models.
Research Engineer - Audio & Speech Models Zyphra TechnologiesResearch Engineer - Audio & Speech ModelsSan Francisco, CAThe Role: As a Research Engineer - Audio & Speech Models, you will be a core contributor on Zyphra's Audio Team, building the next generation of open-source autoencoders, ASR, TTS, SSL, and speech-to-speech models. Qualifications / Additional Skills: Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models.
Sr. Software Engineer, Model Scaling, AI Infrastructure Tesla IncSr. Software Engineer, Model Scaling, AI InfrastructurePalo Alto, CA$176,000–$558,000 / yearYou will help build and optimize large-scale training systems running on thousands of GPUs while developing the tools, metrics, and workflows needed to make model scaling faster and more predictable. Drive improvements in model scaling efficiency, including larger models, longer context lengths, and higher-quality datasets.
Staff Product Manager, Model Lifecycle & Management Pinterest IncStaff Product Manager, Model Lifecycle & ManagementSan Francisco, CARemote$164,695–$339,078 / yearAs a Senior Product Manager for Signal Lifecycle within Trust & Safety, you''ll own the product strategy for the ML platform that powers how Pinterest trains, evaluates, deploys, and measures content safety models at scale. What you''ll do: Own and drive the Signal Lifecycle product roadmap, including ML Flywheel infrastructure, auto-deployment, model onboarding, golden dataset management, and signal performance measurement.
ML Research Engineer, Foundation Models (Senior / Staff / Principal) Genesis Molecular AIML Research Engineer, Foundation Models (Senior / Staff / Principal)San MateoOur generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Bridge machine learning research and computational chemistry workflows , working closely with computational chemists, structural biologists, and medicinal chemists to ensure models translate effectively into real drug discovery programs.
Staff ML Engineer, Generative Model Performance & Efficiency Waymo LLCStaff ML Engineer, Generative Model Performance & EfficiencyMountain View, CA$251,000–$310,000 / yearSince its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World''s Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Engineering Manager, Model Inference AbridgeEngineering Manager, Model InferenceSan Francisco, CaliforniaYou’ll lead a high-performing team of AI inference engineers, partner closely with ML Research and the broader AI Platform, and ensure the systems underpinning every clinician interaction are operating at peak efficiency and reliability. The Inference team owns the end-to-end technical direction of how our models are served: from architecting low-latency, high-throughput infrastructure to pushing the frontier of LLM serving techniques.
Senior / Principal ML Scientist, Foundation Models for Life Sciences Lila SciencesSenior / Principal ML Scientist, Foundation Models for Life SciencesSan Francisco, California$268,000–$384,000 / yearYou will shape the technical direction for how ML models are trained, evaluated, and deployed at scale, collaborate closely with AI scientists and experimental researchers to close the computational–experimental loop, and drive Lila's ML infrastructure toward the next generation of capabilities. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
Research Scientist, World Models WaabiResearch Scientist, World ModelsSan Francisco, CA$155,000–$269,000 / yearThis role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi Worlds ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.