Senior Product Manager, Model APIs & Developer Experience Together AISenior Product Manager, Model APIs & Developer ExperienceSan Francisco, California$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.
Senior Product Manager, Model Apis & Developer Experience Together AISenior 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.
NewMember of Technical Staff, Model Evaluation MirendilMember of Technical Staff, Model EvaluationSan Francisco, California$300,000–$400,000 / yearMirendil is a tech-first company focused on solving core bottlenecks that unlock step-change acceleration across science and technology. We are looking for a research engineer to build the evaluation infrastructure that tells us whether our models are getting better in ways we care about.
Principal Model Optimization Engineer RobloxPrincipal 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.
Sr. Manager, Transformation (Pricing & Business Model) AdobeSr. Manager, Transformation (Pricing & Business Model)San Jose, CaliforniaAdobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Manager, Transformation (Pricing & Business Model) will drive end-to-end execution for prioritized transformation efforts – including translating strategic objectives into specific workplans and analyses, coaching cross-functional teams on transformation design and delivery, and driving problem-solving and alignment.
Senior Machine Learning Engineer – Predictive World Model XPeng MotorsSenior Machine Learning Engineer – Predictive World ModelSanta Clara, CA$174,720–$295,680 / yearDefine and build the evaluation methodology for predictive world models, spanning representation quality, prediction accuracy, generation fidelity, physical plausibility, long-horizon rollout consistency, and ultimately closed-loop policy performance, then feed the resulting models back into training as a source of synthetic data and corner-case simulation. In this role, you will research, implement, and evaluate world models that learn the dynamics of the physical world from large-scale multimodal data — predicting how a scene evolves under an agent's actions, and serving as a learned simulator for training and evaluating driving and robotic policies.
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.
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.
Software Engineer (Model Evaluation & Benchmarking) SpreeAISoftware Engineer (Model Evaluation & Benchmarking)San Francisco, CaliforniaMultimodal generative systems require: benchmarking across visual realism, pose consistency, and identity preservation, automated regression detection across model checkpoints, scalable evaluation pipelines integrated into continuous deployment workflows. You will work at the intersection of applied science, infrastructure, and product — helping define how we measure realism, consistency, and quality across image, video, and multimodal AI systems.
Model Implementation Engineer SciforiumModel Implementation EngineerSan Francisco, CaliforniaBacked by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications. This role is ideal for someone who thrives in fast-moving environments, enjoys working across a wide range of model architectures, and wants to play a key role in enabling rapid adoption of the latest advancements in AI.
Member of Technical Staff - Model Training SpaceXAIMember 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.
ML Research Scientist - Quantum Accelerated Generative Models Sygaldry TechnologiesML Research Scientist - Quantum Accelerated Generative ModelsSan Francisco, CaliforniaYou'll identify where quantum approaches can provide genuine advantage in generative workflows—not incremental improvements, but structural speedups rooted in the mathematics of these models. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications.
Senior Model-Based Systems Engineer Rondo Energy, Inc.Senior Model-Based Systems EngineerAlameda, CA$185,000–$210,000 / yearBuild and maintain automated workflows in an AI-powered systems engineering platform to connect requirements, interfaces, simulations, verification status, interface changes, and traceability into a live, continuously updated picture of program health. 7+ years in systems, integration, or verification engineering on complex multi-disciplinary, software-intensive systems (energy storage, industrial, aerospace, automotive, robotics, or similar); 3+ years in a model-based engineering environment.
Machine Learning Engineer – World Model Institute of Foundation ModelsMachine Learning Engineer – World ModelSunnyvale, California$150,000–$450,000 / yearStrategic 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.
NewSenior Research Engineer, Interactive World Models NvidiaSenior Research Engineer, Interactive World ModelsSanta Clara, CAAdvance the production-ready world model frontier by working with researchers on few-step distillation, causal or autoregressive generation, reward fine-tuning, action conditioning, and long-horizon spatiotemporal memory and consistency. What you'll be doing: Build and optimize the continuous autoregressive serving loop, including per-step control inputs, model and KV-cache state management, GPU inference, frame streaming, and model integrations to speed-of-light.
NewResearch Engineer, Interactive World Models NvidiaResearch Engineer, Interactive World ModelsSanta Clara, CAContributions to an open-source ML project or developer platform, such as implementing model support, improving performance, building tests and benchmarks, fixing difficult issues, writing documentation, or helping users adopt the technology. Advance the production-ready world model frontier by working with researchers on few-step distillation, causal or autoregressive generation, reward fine-tuning, action conditioning, and long-horizon spatiotemporal memory and consistency.
NewResearch Engineer, Interactive World Models - New College Grad 2026 NvidiaResearch Engineer, Interactive World Models - New College Grad 2026Santa Clara, CAHelp advance the production-ready world model frontier by working with researchers on few-step distillation, causal or autoregressive generation, reward fine-tuning, action conditioning, and long-horizon spatiotemporal memory and consistency. Experience profiling or optimizing ML workloads using CUDA, Triton, TensorRT, torch.compile, or similar tools, including work on latency, throughput, quantization, streaming, state or cache management, or multi-GPU execution.
Backend Engineer, Models MeterBackend Engineer, ModelsSan Francisco, CaliforniaTo 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.
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.