Workload / Performance Model Lead SiFiveWorkload / Performance Model LeadBerkeley, CA$231,444–$282,876 / 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. 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.
Computational design of biological experiments for model development InceptiveComputational design of biological experiments for model developmentPalo Alto, CaliforniaOur team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields. We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations.
Building the Experimental Engine for Models of Life InceptiveBuilding the Experimental Engine for Models of LifePalo Alto, CaliforniaOur team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields. We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations.
Product Manager - Business Model Strategy AdobeProduct Manager - Business Model StrategySan Francisco, California$141,700–$205,150 / yearAdobe’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. This particular role will focus on opportunities within the Firefly Enterprise (FFE) portfolio of products, which focuses on providing enterprises creative workflow automation and brand management solutions which leverage innovative GenAi and agentic solutions and deploy novel revenue models.
NewVice President, Strategic Finance (R&D, Procurement & Corporate Model) AiDASHVice President, Strategic Finance (R&D, Procurement & Corporate Model)Palo Alto, California12+ years of experience in Strategic Finance, FP&A leadership, corporate development, investment banking, private equity, or related investment roles, with meaningful experience in high-growth enterprise SaaS or data-intensive product companies. This is a highly operational finance leadership role for someone who wants to influence and partner on product strategy, accelerate launches, improve gross margins, and shape investment allocation decisions alongside the executive team.
M&A Tax Manager - Partnership Consulting & Modeling Baker Tilly Advisory Group, LPM&A Tax Manager - Partnership Consulting & ModelingWalnut Creek, CaliforniaBaker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world's leading financial centers - New York, London, San Francisco, Los Angeles, Chicago and Boston.
Principal Silicon Engineer - System Modeling Microsoft CorpPrincipal Silicon Engineer - System ModelingMountain View, CA$142,800–$274,800 / yearThere is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. To achieve this goal, the Interface IP Team team is instrumental in defining and delivering operational measures of success for hardware manufacturing, improving the planning process, quality, delivery, scale and sustainability related to Microsoft cloud hardware.
Machine Learning: Multimodal Foundation Models The Bot CompanyMachine Learning: Multimodal Foundation ModelsSan Francisco, CaliforniaImprove Cross-Modal Reasoning: Research and implement methods to ensure the model doesn't just "associate" modalities but actually reasons through them (e.g., grounding visual physics in kinematic constraints). Ship and Iterate on Real Systems: Integrate models into real robotic stacks, build on robot code to deploy your models, and optimize performance for edge inference.
Senior Software Engineer - Model Performance InferenceSenior Software Engineer - Model PerformanceSan Francisco, CaliforniaYour work spans from implementing known optimization techniques to experimenting with novel approaches, always with the goal of serving models faster and cheaper at scale. If you love squeezing every last drop of performance out of GPUs, diving deep into CUDA kernels, and turning optimization techniques into production systems, we'd love to meet you.
Applied Research Scientist - Foundation Models Ambient.aiApplied Research Scientist - Foundation ModelsRedwood City, CaliforniaPowered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The momentum speaks for itself: we doubled new ARR in FY26, we process 200M+ video hours per day, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA.
Product Designer, AI Models FIGMAProduct Designer, AI ModelsSan Francisco, CA$169,000–$303,000 / yearJob level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off.
Research Scientist (Model Evaluation) SanasResearch Scientist (Model Evaluation)Palo Alto, CaliforniaDevelop reference-based and reference-free metrics calibrated to Sanas's specific model tasks: SI-SDR, PESQ, STOI, DNSMOS, speaker similarity, WER delta, COMET, and task-specific custom metrics where off-the-shelf measures fall short. Deep familiarity with speech and audio quality metrics — perceptual (MOS, MUSHRA, PESQ, STOI), signal-level (SI-SDR, SNR), and task-specific (WER, speaker similarity, DNSMOS) — and an understanding of when each is and isn't the right tool.
ML Research Engineer (Model Training) MetamorphicML Research Engineer (Model Training)Palo Alto, CaliforniaYou will design the systems that coordinate complex ML workflows across heterogeneous infrastructure, support rapid iteration by researchers, and ensure that models move cleanly from experimentation into robust, low-latency, cost-efficient deployment. Metamorphic is developing new approaches to intelligence by combining machine learning with large-scale experimental neuroscience, informed by the principles that make the brain efficient, flexible, and robust.
NewSite Reliability Engineer, Model Post Training Thinking Machines Lab IncSite Reliability Engineer, Model Post TrainingSan Francisco, CA$350,000–$475,000 / yearYoull be trusted to define what reliable means for post-training workloads, push back on launches that put stability or correctness at risk, and lead incident response for issues that span multiple teams and layers of the stack. Design and implement monitoring and observability across the full training path - data loading, forward/backward passes, optimizer steps, checkpointing, and sampling - with enough signal to distinguish an infrastructure failure from a training or modeling issue.
Senior Staff Software Engineer, AI Model Lifecycle Crusoe EnergySenior Staff Software Engineer, AI Model LifecycleSan Francisco, CA$237,600–$318,240 / yearAbout This Role: The Senior Staff 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.
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.
Research Scientist - Vision Foundation Models Epsilon LabsResearch Scientist - Vision Foundation ModelsSan Francisco, CaliforniaDrive research and technical excellence through conference publications and technical blog posts, establishing best practices for training robust medical imaging models at scale. This role focuses on pretraining and scaling vision encoders for radiology diagnosis across X-ray, CT, and MRI, with a growing emphasis on 3D volumetric modeling.
Member of Research Staff (Machine Learning for Neural Circuit Modeling Postdoc) EpistemeMember of Research Staff (Machine Learning for Neural Circuit Modeling Postdoc)San Francisco, California$120,000–$140,000 / yearWorking closely with both computational and experimental scientists, you will develop and deploy machine learning models for imaging data, neural activity traces, and predictive and causal modeling of neural circuits. Explore advanced deep learning methods (e.g., symbolic regression, GNNs, Transformers, generative models) to inform neural models from data and enhance interpretability.
Model Maker Ursus, Inc.Model MakerFoster City, CA$52–$62.93 / hourYou will both bring and grow a prototyping mindset in addition to various capabilities including (but not limited to) metalwork (waterjet, shear, brake, mill, lathe, welding), composites, and additive manufacturing. Your support will include interfacing with both prototyping teammates and internal clients to support the rapid iteration for vehicle development.
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.