Tech Lead, Robotic AI Model Faraday FutureTech Lead, Robotic AI ModelFremont, CA$150,000–$180,000 / yearThe Company, together with its controlled subsidiaries, operates across multiple technology-driven areas, including AI electric vehicles, robotics, and its crypto business (AIXC), all under its upgraded Global EAI Industry Bridge Strategy, marking the beginning of a new chapter in AI mobility and Web3 integration. You will work across the full post-training lifecycle: curating demonstration data, fine-tuning vision-language-action (VLA) models or world models, training reinforcement learning policies in simulation, validating behaviors on real hardware, and optimizing models for on-robot inference.
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.
Technical Program Manager, Model Alignment And Deployment Character AITechnical Program Manager, Model Alignment And DeploymentRedwood City, CATogether, these groups are responsible for transforming powerful pretrained language models into intelligent, engaging, safely aligned, and highly scalable products-working across data, compute, algorithms, infrastructure, and user insights to improve model performance and ensure reliable delivery. Program ownership: Lead planning and execution of cross-functional programs spanning data collection, annotation pipelines, alignment workflows (RLHF, DPO, Constitutional AI), safety guardrails (adversarial testing, red-teaming), and model serving.
Senior Software Engineer, Data & Model DexmateSenior Software Engineer, Data & ModelFremont, CaliforniaOur mission is to democratize robotics by lowering the barrier to entry, delivering a plug-and-play platform for developers, researchers, and enterprises, and cultivating an open ecosystem that accelerates the evolution of physical AI. Today, robotics is fragmented, slow, and closed: most builders are forced to reinvent the same stack again and again, and most ideas never make it past the prototype stage.
NewProduct Manager, Model Management TapestryProduct Manager, Model ManagementMountain View, CaliforniaIn this role, you will collaborate across technical and commercial teams and alongside subject-matter experts to define, build, and deliver essential grid network model management capabilities to both internal and external partners. Originally born at X, Alphabet’s moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently.
Sr Engineering Program Manager, AIML Foundation Models Apple IncSr Engineering Program Manager, AIML Foundation ModelsCupertino, CAYou will partner directly with Privacy, Legal, and Finance to ensure our data strategy is not only world-class but also aligns with Apples core values.6+ years of experience in program management in the data acquisition of ML technologies Experience with machine learning concepts and technologies. You will leverage your deep technical expertise in the large-scale ML lifecycle-from massive data pipelines and distributed training to sophisticated evaluation and on-device inference-to ship groundbreaking, privacy-focused experiences to millions of users.
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.
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.
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.
NewSenior / 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.
NewSoftware 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.
NewProduct 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.
NewProduct Lead, Foundational Models And Post-Training AbridgeProduct Lead, Foundational Models And Post-TrainingSan Francisco, CAYou 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.
Machine Learning: World Models The Bot CompanyMachine Learning: World ModelsSan Francisco, CaliforniaOwn 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.
Ai/Ml Engineer - Model Inference General MotorsAi/Ml Engineer - Model InferenceSunnyvale, CA$117,700–$221,400 / yearThe team sits at the intersection of machine learning, data infrastructure, and developer productivity, building systems that make it easier to search for important scenarios, prepare training-ready data, and support fast iteration across perception and evaluation workflows. We believe the next generation of autonomy and robotics depends not only on stronger models, but also on better infrastructure for turning massive volumes of multimodal data into reusable signals, searchable artifacts, and high-quality evaluation loops.
Director/Sr. Manager, AI Inference Model Scaling Cerebras SystemsDirector/Sr. Manager, AI Inference Model ScalingSunnyvale, CaliforniaWe build the compiler frontend, model transformation pipeline, graph optimization infrastructure, high-performance kernel enablement, and runtime integration that together make next-generation AI models execute with industry-leading performance. We collaborate closely with hardware architects, runtime engineers, cloud platform teams, AI researchers, and strategic customers to rapidly bring new model architectures into production.