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.
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.
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.
Research Intern, Model Shaping Fall 2026 Together Computer IncResearch Intern, Model Shaping Fall 2026San Francisco, CA$58–$63 / hourWe have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Mamba, FlexGen, SWARM Parallelism, Mixture of Agents, and RedPajama. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, algorithms, and models.
Member Of Technical Staff (ML Engineer, Recommendations & User Modeling) Perplexity AIMember Of Technical Staff (ML Engineer, Recommendations & User Modeling)San Francisco, CAWe build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity. Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics.
Principal Memory PHY Architect (Power Modeling) - 16072 Synopsys IncPrincipal Memory PHY Architect (Power Modeling) - 16072Sunnyvale, CAYou thrive in environments where you drive power models, collaborate with PHY architects to define architecture that meet product goals, take ownership of outcomes, and work seamlessly with large cross-functional teams to ensure successful project delivery. You Are: You are a highly experienced architect with a strong background in memory PHYs and power modeling, ready to lead innovation in efficient silicon solutions.
Senior Staff Software Engineer, Model LifeCycle Crusoe Energy Systems LLCSenior Staff Software Engineer, Model LifeCycleSan Francisco, CA$237,600–$288,000 / yearAbout the Role: The Senior Staff Engineer for the Model LifeCycle team will play a crucial role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs). Here, youll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure.
Principal Research Engineer, Model Training & Post-Training Inflection AI IncPrincipal Research Engineer, Model Training & Post-TrainingPalo Alto, CA$400,000–$550,000 / yearLead training and post-training strategy, including supervised fine-tuning, RLHF, DPO, GRPO, RLAIF, reward modeling, preference optimization, tool-use fine-tuning, distillation, synthetic data, and related methods. Inflection's models are central to our product and platform strategy, and we are looking for a hands-on technical leader to own the model-improvement loop from data and training through evals, post-training, release criteria, and production feedback.
Backend Engineer, Models MeterBackend Engineer, ModelsSan Francisco, California$160,000–$230,000 / yearTo make this possible, we don’t just need great models; we need infrastructure that gives those models clean, versioned, low-latency access to the right data, across training, evaluation, and deployment. As described on Meter.ai , we’re building models in a closed-loop system that takes (as input) real-time telemetry, logs, and events on the network to autonomously troubleshoot, improve performance, and resolve issues.
Machine Learning Engineer – World Model Institute of Foundation ModelsMachine Learning Engineer – World ModelSunnyvale, CaliforniaStrategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. You’ll build scalable, reliable, and observable cloud infrastructure, working closely with researchers to support data pipelines, experimentation, and evaluation workflows.
Senior Model Risk Manager Earnest IncSenior Model Risk ManagerSan Francisco, CAAbout You: You hold a Master's degree in a quantitative field (Statistics, Economics, Mathematics, Financial Engineering, or similar) with 7+ years of experience in model development, validation, or model risk management in financial services (or a Bachelor's degree with 10+ years of relevant experience). As the Sr Model Risk Manager, you will: Own and evolve Earnest's Model Risk Management framework, ensuring our credit, loss forecasting, fraud, marketing, and finance models are rigorous, transparent, and built to scale responsibly.
Financial Crimes Compliance Modeling & Analytics Manager Mercury Technologies IncFinancial Crimes Compliance Modeling & Analytics ManagerSan Francisco, CA$166,600–$208,300 / yearAs Financial Crimes Compliance Modeling & Analytics Manager, you''ll help drive enhancements to Mercury''s financial crimes compliance (FCC) detection and screening models and improve the overall FCC framework. You''ll play a key role in developing, tuning, and maintaining Mercury''s transaction monitoring (TM) and Sanctions models, and in building the analytics and metrics that track the health of FCC programs.
NewSystem Modeling Engineer Zipline International IncSystem Modeling EngineerSouth San Francisco, CA$145,000–$185,000 / yearOur customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. You will develop complex simulation capability and physics-based models for predicting energy consumption per phase of flight, at various levels of fidelity, including highly optimized models that can execute at run-time.
Principal Applied AI Researcher - Domain- Specific Models (Dublin, CA) Articul8Principal Applied AI Researcher - Domain- Specific Models (Dublin, CA)Dublin, CaliforniaMaintain hands-on research impact at the highest level — sustain a meaningful personal research contribution through technical work, publications, patents, and externally visible output, modeling what it means to be a world-class researcher who uses massively parallel agentic systems to achieve what was previously impossible. Mentor senior researchers and raise the ceiling on human potential — coach Staff and Senior researchers on designing agent-augmented research programs, raise the bar on technical judgment and experimental rigor, and shape hiring for researchers who are driven to redefine what's possible.
Full Stack Engineer, Scientific Modeling Tools Terra AIFull Stack Engineer, Scientific Modeling ToolsRedwood City, CaliforniaBacked by leading investors including Khosla Ventures and working alongside strategic industry partners including Rio Tinto, Ero Copper, and Ramaco Resources, Terra AI is emerging as one of the more closely watched AI-native companies operating within the mining and critical minerals sector. As global demand for copper, lithium, nickel, rare earth elements, geothermal energy, and other strategic resources accelerates, the mining and subsurface industries face a growing challenge: traditional exploration methods remain slow, expensive, and highly uncertain.
Principal Risk & Compliance Quantitative and Modeling Analyst - Location Flexible PG&E CorpPrincipal Risk & Compliance Quantitative and Modeling Analyst - Location FlexibleMillbrae, CADevelops and leads compelling data-driven business cases for or against specific courses of action and potential risk mitigation alternatives as appropriate; provides strategic direction regarding areas of NERC compliance in common with CPUC, OEIS, and CAISO. Department Overview: The Electric Risk & Compliance organization provides governance, oversight, and strategic direction on risk and compliance matters across Electric Operations, ensuring alignment with enterprise policies and external/internal regulatory requirements.
World Model Research Scientist- Physical AI KodiakWorld Model Research Scientist- Physical AIMountain View, California$190,000–$250,000 / yearShould the position require, and Kodiak determines that a candidate’s residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak’s sole discretion, or, as an alternative, opt not to proceed with the candidate’s application. We are looking for a research scientist to lead the design and development of world models capable of generating multi-sensor, multi-view, temporally coherent driving scenarios conditioned on actions, 3D scene context, and text.
Research Scientist - World Model Luma AI IncResearch Scientist - World ModelSan Francisco, CALuma already trains the strongest generative video models in the industry; the next step is turning those models into world models - interactive, controllable, physically faithful, and useful as a substrate for embodied reasoning. Invent next-generation world model architectures - diffusion, transformer, autoregressive, or hybrid - with a particular focus on controllability and physical consistency.
Staff Software Engineer, Modelling Infrastructure Google LLCStaff Software Engineer, Modelling InfrastructureSunnyvale, CAWe"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. You 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.
Junior Member of Technical Staff - System Modeling Unconventional AIJunior Member of Technical Staff - System ModelingPalo Alto, CAFounded by pioneers in the field - including Naveen Rao (Nervana, MosaicML) and Michael Carbin (MIT, MosaicML) - we are building a new computational substrate that interfaces directly with the physics of silicon to achieve biology-scale efficiency. You will assist the hands-on R&D team in building simulation environments that enable rapid iteration and testing across all layers of our unconventional physics-based computing systems for machine learning workloads.