Software Engineer - Voice Model SpaceXAISoftware 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.
Senior Power Modeling Engineer, Google Pixel GoogleSenior Power Modeling Engineer, Google PixelMountain View, CAExperience within first-principle low-power concepts, including power delivery networks (PDN), architectures and power-states (e.g., Dynamic Voltage and Frequency Scaling (DVFS), sleep modes). Minimum qualifications: Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., optics, sensors, audio/DSP, etc.), or equivalent practical experience.
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 Software Engineer, Modelling Infrastructure GoogleStaff Software Engineer, Modelling InfrastructureSunnyvale, CAYou will work closely with partner teams, external organizations, and engineers from various tool and infrastructure teams to understand needs, align road-maps, and ensure the modeling infrastructure meets the evolving demands of both networking and AI/ML landscape. From 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.
Power Model Engineer SiFivePower Model EngineerSanta Clara, California$178,848–$218,592 / yearSiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. United States of America Any offer of employment for this position is also contingent on the Company verifying that you are a authorized for access to export-controlled technology under applicable export control laws or, if you are not already authorized, our ability to successfully obtain any necessary export license(s) or other approvals.
Member Of Technical Staff - Model Training TwitterMember Of Technical Staff - Model TrainingPalo Alto, CA$180,000–$600,000 / yearIf you previously trained models used by millions of people it's a big plus, but modeling experience is not required. SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.
Solutions Architect - Modeling & Simulation (Defense) Applied IntuitionSolutions Architect - Modeling & Simulation (Defense)Sunnyvale, CaliforniaYour mission: make the team technically impressive, ensuring every customer conversation, white paper, and proposal is grounded in a credible, differentiated technical narrative that maps Applied Intuition’s capabilities to the customer’s mission. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C. San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.
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.
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.
Senior Software Engineer, Model Serving DataBricksSenior Software Engineer, Model ServingSan Francisco, CA$166,000–$225,000 / yearContribute 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. You 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.
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.
Business Model Research Analyst Initio CapitalBusiness Model Research AnalystSan Jose, CAThis is a strong fit for candidates interested in consulting, finance, investment research, product strategy, software, AI/data, business operations, corporate development, private markets, or entrepreneurship. Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.
Senior / Principal ML Scientist, Foundation Models for Life Sciences Lila SciencesSenior / Principal ML Scientist, Foundation Models for Life SciencesSan Francisco, CaliforniaYou 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.
Full Stack Engineer, Scientific AI Models BenchlingFull Stack Engineer, Scientific AI ModelsSan Francisco, CaliforniaAlphaFold or Boltz2) predict structures, predict scientific properties, and generate new drug designs, acting as a design partner and a major time saver to scientists who are creating life-saving therapeutics. Projects you might work on include: adding new models as soon as they're published, improving model performance and scalability, and enabling scientists to automate their in-silico workflows by chaining models together into pipelines.
Software Engineer, Models MeterSoftware Engineer, ModelsSan Francisco, CaliforniaIn 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.
Senior Software Engineer, Spatial Intelligence And Foundation Models NvidiaSenior Software Engineer, Spatial Intelligence And Foundation ModelsSanta Clara, CAYou will join a group of world-class robotics software and applied research engineers focused on geometric and semantic understanding, and reasoning for robots - building the perception systems that turn raw sensor data into actionable world understanding, shaping the future of physical AI! What you'll be doing: Design, implement, and deploy novel algorithms for spatial understanding, working on problems ranging from SLAM, structure-from-motion, optical flow, scene flow, and object reconstruction to training VLMs on a wide range of spatial reasoning skills.
Senior Radar Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles NvidiaSenior Radar Perception Engineer, Obstacle Foundation Models - Autonomous VehiclesSanta Clara, CAEmbedded Optimization: Hands-on experience architecting and deploying DNN-based perception pipelines on embedded or real-time platforms, including optimization for latency, memory, and compute constraints, and familiarity with modern architectures (e.g., Transformers, BEV networks). NVIDIA GPUs run deep learning algorithms that simulate aspects of human intelligence, acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
Senior Research Scientist, Multimodal Foundation Models And Robotics NvidiaSenior Research Scientist, Multimodal Foundation Models And RoboticsSanta Clara, CADeep understanding of robot kinematics, dynamics, and sensors; Ability to safely operate robot hardware, lab equipment, and tools; Knowledge of control methods, including PID, model predictive control, and whole-body control; Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim; Robot hardware design and hands-on building experience. Hands-on training experience and publications in at least one of the following topics: LLMs; Large vision-language models; Video generative models and diffusion algorithms; or Action-based transformers.
Senior Deep Learning Engineer - Model Evaluation & AI Systems NvidiaSenior Deep Learning Engineer - Model Evaluation & AI SystemsSanta Clara, CAExperience acting as a technical bridge across teams or platforms (e.g., evaluation, training, or agent frameworks), combining architectural understanding with clear communication and influence. Ways to stand out from the crowd: Experience building or improving evaluation frameworks, benchmarks, or ML infrastructure used by other teams or external users.
NewSenior Manager, Interactive World Model Platforms NvidiaSenior Manager, Interactive World Model PlatformsSanta Clara, CATechnical fluency in the ML primitives behind interactive world models, including diffusion or flow-matching models, autoregressive / causal video generation, self-forcing or causal-forcing style training, Gaussian splatting, NeRFs, and neural reconstruction. Ways to stand out from the crowd: Experience adopting Gaussian splats, NeRFs, neural reconstruction, neural shading, or other advanced rendering techniques for AV, robotics, simulation, synthetic data, or production rendering workflows.