Scientist /Senior Scientist, Multimodal & Relational Machine Learning Foundation Models Altos LabsScientist /Senior Scientist, Multimodal & Relational Machine Learning Foundation ModelsSan Francisco, CA$200,900–$257,500 / yearArchitect and implement novel hybrid models that integrate Large Language Models (LLMs) with Graph Neural Networks (GNNs) for multi-hop reasoning over biological knowledge graphs. Lead the design of efficient data loading strategies and distributed training recipes (e.g., FSDP, DeepSpeed) to train models across multiple GPU nodes.
NewSenior Software Engineer, AI Model Lifecycle Crusoe EnergySenior Software Engineer, AI Model LifecycleSan Francisco, CA$172,425–$230,945 / yearAbout This Role: The Senior Software Engineer for the AI 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). We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
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.
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.
Full Stack Engineer, Scientific AI Models BenchlingFull Stack Engineer, Scientific AI ModelsSan Francisco, CAAlphaFold 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.
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.
Model Designer OpenAI LLCModel DesignerSan Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
NewTechnical Program Manager, Model Deployment & Capacity OpenAI LLCTechnical Program Manager, Model Deployment & CapacitySan Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. You will bring structure to constrained-capacity decisions, improve the tooling and mechanisms teams use to prioritize demand, and help new models reach users safely and efficiently.
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.
Software Engineer, Infrastructure Modelling Fluidstack LtdSoftware Engineer, Infrastructure ModellingSan Francisco, CAIf there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role youve applied for, and the date you submitted your application-- someone from our recruiting team will be in touch. Powerful AI will be the biggest lever for human choice weve ever built - but only if models are aligned with what humanity actually wants.
Strategy& - Strategy Consulting Business Model Reinvention - Manager PwCStrategy& - Strategy Consulting Business Model Reinvention - ManagerSan Francisco, CA$99,000–$232,000 / yearPwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . In this role, you will analyze client needs, provide consulting services across different strategic areas, and offer guidance to help clients develop and implement effective strategies that align with their business objectives.
Strategy& Strategy Consulting Business Model Reinvention - Director PwCStrategy& Strategy Consulting Business Model Reinvention - DirectorSan Francisco, CA$155,000–$410,000 / yearPwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As a Director, you will set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations.
Strategy& - Strategy Consulting Business Model Reinvention - Senior Associate PwCStrategy& - Strategy Consulting Business Model Reinvention - Senior AssociateSan Francisco, CA$77,000–$202,000 / yearIn this role at PwC, you will analyze client needs and provide consulting services across different strategic areas, offering guidance and support to help clients develop and implement effective strategies that align with their business objectives and drive growth. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy .
Program Officer, AI Model Safety Open rolesProgram Officer, AI Model SafetySan Francisco, CaliforniaBy AI model safety we mean the technical work of understanding and improving how models behave (testing and evaluating them independently, red-teaming them, researching how to interpret, align, and control them) so that increasingly capable systems can be trusted with increasingly consequential tasks. Proactively identify the most important projects and organizations that need to exist, and make them happen: scope priority projects, find or develop the right founders, and actively build new initiatives, seeding them if required.
Machine Learning: World Models The Bot CoMachine Learning: World ModelsSan Francisco, CAOwn 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. Architect Neural Simulators: Design and train spatiotemporal models that move beyond short clips toward coherent, long-form world simulations.
Member of Technical Staff (Model Behavior) Perplexity AI IncMember of Technical Staff (Model Behavior)San Francisco, CAContext Engineering: Design, test, and optimize the prompts, skills, tools, and memory that shape Perplexity responses across products, features, and use cases. Were hiring software engineers for the Model Behavior team to help shape how Perplexity's AI products behave: the style of their responses, and the way they use tools, skills, and memory.
Staff Software Engineer, Foundational Model Serving DataBricksStaff Software Engineer, Foundational Model ServingSan Francisco, CA$192,000–$260,000 / yearWe're looking for engineers who have owned high scale operational sensitive systems like customer facing APIs, Edge Gateways, ML Inference, or similar services and have an interest in getting deep building LLM APIs and runtimes at scale. 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.
Senior Product Manager, Model APIs & Developer Experience Together Computer IncSenior Product Manager, Model APIs & Developer ExperienceSan Francisco, CA$200,000–$280,000 / yearWe 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, hardware, algorithms, and models. The interfaces around those models shape the entire customer experience: how easily a developer can migrate an application, how reliably an agent can use a model, and how a team runs large asynchronous workloads.
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.
Product Lead, Foundational Models and Post-Training AbridgeProduct Lead, Foundational Models and Post-TrainingSan Francisco, CaliforniaYou will own the product strategy that connects research bets to product outcomes: where an in-house model can create meaningful advantage, which capabilities and workloads to prioritize, what evidence is required to scale an approach, and how a successful model moves from experiment to production. Build clear frameworks for when to use a frontier model, an open model, a prompted workflow, or an Abridge-trained model; quantify expected quality, serving-cost, latency, control, and strategic benefits.