Principal Machine Learning Engineer, Accelerated Apache Spark NVIDIA CorpPrincipal Machine Learning Engineer, Accelerated Apache SparkSanta Clara, CAApache Spark is the most popular data processing engine in data centers for running large scale workloads for ETL, SQL, and ML/DL model training and inference pipelines, spanning many domains and use cases. What you'll be doing: Design and implement machine learning solutions for performance prediction and optimization of GPU accelerated enterprise Apache Spark workloads.
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.
Machine Learning Engineer RADARMachine Learning EngineerSunnyvale, CA$195,000–$264,000 / yearResponsibilities: 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. Drive model performance: Train, validate and deploy high-quality ML models, applying advanced techniques in feature selection, hyperparameter tuning and model architecture choices to improve the accuracy of our products.
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.
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.
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/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI Scale AISenior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAISan Francisco, CA; New YorkAs a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.
Member of Technical Staff - Machine Learning Capabilities, New Graduates Preference ModelMember of Technical Staff - Machine Learning Capabilities, New GraduatesSan Francisco, CaliforniaYour work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers and engineers. We’re hiring new graduate Machine Learning Engineers to design and build reinforcement learning environments to safely advance model capabilities in machine learning research and engineering.
Software Engineer/Senior Software Engineer, Applied ML & Data Mining PlusAI IncSoftware Engineer/Senior Software Engineer, Applied ML & Data MiningSanta Clara, CA$130,000–$220,000 / yearDesign and ship mining products end to end: Python APIs and services, relational data models, asynchronous jobs, modern TypeScript/React search and review experiences, deployment, access control, testing, observability, and production reliability. Build and operate distributed mining, inference, and indexing pipelines over fleet-scale imagery, video, time-series, and autonomy-system data, including GPU batch inference, embedding generation, reproducible candidate datasets, and reliable index refreshes.
Senior Machine Learning Scientist - Personalization ExpediaSenior Machine Learning Scientist - PersonalizationSan Jose, CaliforniaAs a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Design, develop, and apply machine learning solutions to real-world personalization, product, and business problems, translating ambiguous opportunities into scalable models, experiments, and production-ready capabilities.
Deep Learning Engineer Hayden AI Technologies, Inc.Deep Learning EngineerSan Francisco, CADemonstrated ability to independently build ML pipelines and deploy models to cloud environments (AWS, GCP, or Azure); familiarity with MLOps practices including experiment tracking, model versioning, and automated workflows. The team is responsible for building and maintaining advanced models that are able to perceive the world and the knowledge produced by the models is used downstream to implement various customer use-cases.
Deep Learning Engineer Hayden AIDeep Learning EngineerSan Francisco, CaliforniaDemonstrated ability to independently build ML pipelines and deploy models to cloud environments (AWS, GCP, or Azure); familiarity with MLOps practices including experiment tracking, model versioning, and automated workflows. The team is responsible for building and maintaining advanced models that are able to perceive the world and the knowledge produced by the models is used downstream to implement various customer use-cases.
Sr Machine Learning Manager, Data for Foundation Models - SIML Apple IncSr Machine Learning Manager, Data for Foundation Models - SIMLCupertino, CAM.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience 3+ years of experience as an ML Manager, leading teams through modern computer vision and generative AI research Experience managing cross-functional projects, connecting initiatives to engineers interests, and helping engineers grow through mentorship and empathy 8+ years of experience training state-of-the-art generative or understanding models Proficiency in ML frameworks and distributed data processing pipelines as a hands on technical leader Excellent communication skills and an ability to drive clarity in ambiguous circumstancesPrior hands-on research experience working with data and building models Recent projects and experience with modern visual generative AI for images or videos Track record of strong industrial research, including delivery of complex projects or publications in top-tier venues. Typical projects involve leveraging billion-scale datasets, applying machine learning models to enrich data, and executing quality-focused data curation strategies.
Senior Machine Learning (MLOps) Engineer - Worldwide Product Marketing Apple IncSenior Machine Learning (MLOps) Engineer - Worldwide Product MarketingCupertino, CAApply LLM assistants to support code reviews, test generation, and pipeline debugging to improve overall code quality and team velocity.8 years in software engineering with demonstrated experience in large-scale software system design and implementation. Strong understanding of data pipeline orchestration tools such as Airflow, Prefect, or similar.10 years of related experience building high-throughput, scalable applications or machine learning models in a production environment.
Staff Machine Learning Scientist Hinge Health IncStaff Machine Learning ScientistSan Francisco, CAThe company has designed its platform to address a broad spectrum of MSK care-from acute injury, to chronic pain, to post-surgical rehabilitation-and the platform can help to ease members' pain, improve their function, and reduce their need for surgeries, all while driving health equity by allowing members to engage in their exercise therapy sessions from anywhere. Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn't available where you live.
New Grads 2027 - Software Engineer - Perception/Computer Vision Guangzhou WeRide Technologies Co LtdNew Grads 2027 - Software Engineer - Perception/Computer VisionSan Jose, CA$120,000–$165,000 / yearIn the AI team, you will: Develop and deploy cutting-edge perception and deep learning models, including computer vision models, vision-language and large language models (VLMs and LLMs), for real-time integration into our system. Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4 and is the world's first publicly listed autonomous vehicle (AV) company.
Software Engineer, Full stack Machine Learning Platform, Manufacturing Quality Tesla IncSoftware Engineer, Full stack Machine Learning Platform, Manufacturing QualityFremont, CA$140,000–$252,000 / yearDesign, develop, and maintain Tesla's internal Machine Learning (ML) platforms, incorporating features for model tracking (e.g., experiment logging and lineage), model version control systems, and LLM evaluation frameworks to assess accuracy, bias, and efficiency. As part of Tesla's Vehicle Engineering organization, you'll have access to the data gold mine of design, manufacturing, and vehicle data sources, enabling you to design, develop, and deploy innovative generative AI and machine learning platforms globally.
Machine Learning Scientist TacitMachine Learning ScientistSan Francisco, California$180,000–$270,000 / yearAbout the role As a Machine Learning Scientist , you will develop cutting-edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. We are an early-stage, deep tech startup based in San Francisco, developing innovative hardware that rethinks human-computer interaction.
Software Engineer, NLP/Machine Learning Wisdom AISoftware Engineer, NLP/Machine LearningSan Mateo, CaliforniaOur platform doesn’t just surface insights — it explains the why behind them, helping teams move from data to decisions with speed, confidence, and context. We strip problems to what’s actually true and build up from there — then validate quickly and let real-world results decide.
Machine Learning Research Scientist, Evaluations Scale AIMachine Learning Research Scientist, EvaluationsSan Francisco, CA; SeattleThe range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $180,600 — $225,750 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role.