NewHuman Data Operations Strategist EncordHuman Data Operations StrategistSan Francisco, CABonus: hands-on experience with computer vision, generative AI, or multimodal data workflows; prior exposure to data annotation platforms or quality management frameworks; experience coaching or managing operational teams. Working proficiency in Python or SQL, with the ability to query data, automate workflows, or audit annotation outputs; broader familiarity with relational databases or data annotation tooling equally valued.
Machine Learning Engineer, Local Search & Marketplace NewsBreakMachine Learning Engineer, Local Search & MarketplaceMountain View, CA$190,000–$300,000 / yearRecognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. Apply embeddings, natural language processing, large language models, and modern retrieval techniques to connect consumer demand with relevant local content, businesses, or services.
Sr. Computer Vision / Machine Learning Engineer Corvus RoboticsSr. Computer Vision / Machine Learning EngineerMountain View, CaliforniaYou'll tackle diverse technical challenges, working with vast amounts of sensor data to increase environmental awareness and provide customers with deeper inventory insights. Our fully autonomous Corvus One drones use computer vision & robotics to automatically track inventory, improving worker safety and increasing labor efficiency.
Senior Machine Learning Engineer, Features (Adtech) CognitivSenior Machine Learning Engineer, Features (Adtech)San Mateo, CA$190,000–$250,000 / yearAdvanced Embeddings & Generative AI Integration: Leverage LLMs and deep learning models to extract rich contextual and user-level embeddings into the core feature store/serving system, optimizing embedding generation, indexing, and online retrieval for sub-millisecond serving SLAs. High-Performance Feature Engineering & Infrastructure: Architect, build, and maintain low-latency, high-throughput feature pipelines — batch, real-time streaming, and point-in-time correct historical features — to power our real-time bidding systems.
Senior / Staff Machine Learning Engineer, Applied AI Lila SciencesSenior / Staff Machine Learning Engineer, Applied AISan Francisco, Massachusetts$180,000–$298,000 / yearFull-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. You’ll work on improving Lila’s AI models for customer-specific scientific needs, with a focus on turning frontier model capabilities into reliable workflows that can be evaluated, iterated, and used in real customer contexts.
Junior java developer spring boot and AI focus/Data engineer SynergisticITJunior java developer spring boot and AI focus/Data engineerPleasanton, CA$95,000–$154,000 / yearSince 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
Machine Learning Infrastructure Engineer ZensorsMachine Learning Infrastructure EngineerSan Francisco, CaliforniaBuilding Efficient Operators: Working across the entire ML framework/compiler stack (e.g., PyTorch, CUDA, TensorRT, and NVIDIA DeepStream) to write custom optimized ML operator libraries. Your responsibilities will include: Optimizing Core ML Pipelines: Identifying key bottlenecks in our current video analytics pipeline and performing in-depth analysis to ensure the best possible performance on current server and edge compute architectures.
Machine Learning Engineer (Generative AI) Applied MaterialsMachine Learning Engineer (Generative AI)Santa Clara, CA$131,000–$180,000 / yearIf you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members.
Senior Machine Learning Engineer, Recommendation & AI Applications NewsBreakSenior Machine Learning Engineer, Recommendation & AI ApplicationsMountain View, CA$195,000–$230,000 / yearRecognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. You will work on core feed, retrieval, and ranking systems serving tens of millions of users, while also participating in AI-driven innovation projects that explore new ways to improve content discovery, personalization, and developer productivity.
Devops Engineer EncordDevops EngineerSan Francisco, CAObservability Instrument services with distributed tracing, logging, and metrics (Prometheus, Grafana, OpenTelemetry, GCP Dashboards or similar); build infrastructure, define best practices, and work with each squad to ensure every service is observable before it goes to production. CI/CD & Deployment Own and continuously improve deployment pipelines; partner closely with developers to review infrastructure changes, streamline release processes, and champion DevOps best practices across the engineering group.
Founding Machine Learning Engineer ShepherdFounding Machine Learning EngineerSan Francisco, California4+ years of industry experience building and shipping ML systems end-to-end, from raw data to production models, including experience with model deployment platforms (e.g., AWS Sagemaker). We're building the risk infrastructure for the next generation of financial services, where technology, underwriting, and partnerships operate in harmony to support the world's most important industries and the progress they make possible.
Machine Learning Engineer RADARMachine Learning EngineerSunnyvale, CA$195,000–$264,000 / yearWe are deployed across 1,400+ stores with retailers including American Eagle Outfitters and Old Navy, processing tens of billions of real-world events every day, delivering 99%+ accuracy in complex, noisy environments - at fleet scale. Build and scale ML infrastructure: Design and maintain scalable, reliable and efficient production pipelines for feature engineering, training, prediction and model serving using tools including Airflow, Big Query and Kubeflow.
Machine Learning Engineer, LLM Post-Training NewsBreakMachine Learning Engineer, LLM Post-TrainingMountain View, CA$150,000–$230,000 / yearDesign, build, and curate the data that drives each training stage — instruction/SFT datasets, preference pairs, reward signals, on-policy rollouts, and rejection-sampled completions — and define data-preparation strategies tailored to specific business needs. Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Staff Machine Learning Engineer, Recommendation & AI Platform NewsBreakStaff Machine Learning Engineer, Recommendation & AI PlatformMountain View, CA$230,000–$300,000 / yearRecognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. In this role, you will define technical direction for large-scale personalization systems , lead complex projects across teams, and drive the adoption of AI / LLM technologies in both product capabilities and engineering workflows.
Distributed Machine Learning Engineer Institute of Foundation ModelsDistributed Machine Learning EngineerSunnyvale, 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. The Role The Distributed ML Engineer will play a role at the forefront of optimizing performance for the machine learning software stacks, especially at training and inference, and support the team to develop new and cutting-edge systems.
Senior Machine Learning Engineer ArcadeSenior Machine Learning EngineerSan Francisco, CaliforniaOwn the ML stack end-to-end: Evaluate hosted models, fine-tune open-source ones, and build scalable pipelines for image, video, and text generation. Collaborate cross-functionally: Work with design and marketing to define what “on-brand” means, and with engineers to integrate ML systems into production.
Senior Machine Learning Engineer, LLM Inference Optimization Nebius Group NVSenior Machine Learning Engineer, LLM Inference OptimizationPalo Alto, CA$195,200–$262,200 / yearPractical knowledge of at least one modern inference stack such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or equivalent internal systems. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
NewStaff Software Engineer, Machine Learning And Computational Chemistry Eikon Therapeutics, Inc.Staff Software Engineer, Machine Learning And Computational ChemistryMillbrae, CA$200,000–$241,500 / yearAs part of Eikon's diverse team, you will interface with biologists, chemists, microscopists, and optical and automation engineers to design and deploy computational solutions that enable the exploration and quantification of Eikon's high-content datasets. Practical and theoretical understanding of computational chemistry methods including docking, MD (Molecular Dynamics), FEP (Free Energy Perturbation), and retrosynthetic prediction applied to early drug discovery programs.
Senior Software Engineer, Machine Learning Inference NvidiaSenior Software Engineer, Machine Learning InferenceSanta Clara, CAWe're seeking talented and motivated engineers to join our TensorRT team in developing the industry-leading deep learning inference software for NVIDIA AI accelerators. As a Senior Software Engineer in the TensorRT team, you will be responsible for designing and implementing inference software optimizations to power AI applications on NVIDIA GPUs.
Staff Machine Learning Platform Engineer Faire WholesaleStaff Machine Learning Platform EngineerSan Francisco, CA$246,500–$339,000 / yearWe’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.