- Rivian (Palo Alto, CA)
- …connected, more intelligent, more sustainable for everyone. Role Summary As an ML Ops Engineer, you will be instrumental in building and maintaining a scalable ... Establish Best Practices: Define and implement best practices for ML Ops , ensuring scalability, reliability, and maintainability of ML solutions. Stay Informed… more
- Volkswagen Group Services GmbH (Belmont, CA)
- …behavior modeling, scene understanding, and fleet operations. Designs and implements new machine learning based approaches based on existing frameworks Keeps up ... Select how often (in days) to receive an alert: Senior AI ML Ops Engineer - Must...technologies & technical skills Background in Deep Neural Network Learning , Computer Vision, and Machine Learning… more
- Volkswagen Group Services GmbH (Belmont, CA)
- …role requires 7+ years of experience and expertise in algorithm development and machine learning . Candidates should have a Master's degree in computer science, ... A leading automotive company seeks a Senior AI ML Ops Engineer in Belmont, CA, to develop scalable AI solutions for autonomous driving. The… more
- CoStar Group, Inc. (Sunnyvale, CA)
- …will be pivotal in enhancing the performance, efficiency, and scalability of our machine learning models. You will be responsible for identifying bottlenecks, ... Matterport - Senior ML Ops Engineer Job Description...computing platform. This role requires a strong understanding of machine learning principles, expertise in model optimization… more
- Qualcomm (Santa Clara, CA)
- Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: We are seeking a Senior ... System Engineer to join our team. You will lead system-level design, integration, and optimization across our AI-driven Video Surveillance as a Service (VSaaS) platform. In this role, you will work on mission-critical components spanning edge devices, backend… more
- CoStar Group, Inc. (Sunnyvale, CA)
- … Senior MLOps Engineer to enhance the performance and scalability of machine learning models. The role involves optimizing model efficiency, collaborating ... with various engineering teams, and contributing to innovative solutions in the real estate sector. Ideal candidates will have a Bachelor's degree in Computer Science and significant experience in ML optimization and deployment. #J-18808-Ljbffr more
- Labelbox (San Francisco, CA)
- …and high‑impact research workflows across data, tooling, and infrastructure. Position Senior C++ Full‑Stack Engineer - AI Data & Infrastructure Type: Contract, ... Remote Commitment: 20-40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities Design, build, and optimize high‑performance systems in C++ supporting AI data pipelines and evaluation workflows Develop full‑stack tooling and… more
- Alto Pharmacy (San Francisco, CA)
- A leading healthcare company is seeking an Applied Scientist to develop advanced machine learning solutions aimed at improving pharmacy operations. This role ... requires a strong background in machine learning , NLP, and substantial experience in delivering ML models to production. The ideal candidate will collaborate… more
- Disney (San Francisco, CA)
- …in San Francisco, CA. The role involves building scalable infrastructure for machine learning and AI frameworks, optimizing CI/CD pipelines, and collaborating ... with data scientists. Ideal candidates will have 5+ years in DevOps, expertise in Docker and Kubernetes, and strong cloud infrastructure knowledge. The position offers a competitive salary range of $155,400 to $208,400, with additional benefits and a hybrid… more
- Medium (Santa Clara, CA)
- …Python, willingness to do some C++ development as needed. Deep understanding of machine learning principles and methodologies Experience with implementing deep ... techniques and architectures like transformers, CNNs Expertise in machine learning or related field demonstrated by...ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH) Experience with ML Ops and best practices for scalable ML deployment Compensation… more
- GoFundMe (San Francisco, CA)
- Senior Manager, Machine Learning Engineering Want to help us help others? We're hiring! GoFundMe is the world's most powerful community for good, dedicated ... has raised more than $40 billion since 2010. Join GoFundMe as our next Senior Manager, Machine Learning Engineering in the Applied Science organization,… more
- PlusAI (Santa Clara, CA)
- …Python, willingness to do some C++ development as needed. Deep understanding of machine learning principles and methodologies Experience with implementing deep ... techniques and architectures like transformers, CNNs Expertise in machine learning or related field demonstrated by...ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH) Experience with ML Ops and best practices for scalable ML deployment $180,000… more
- Troveo Ai (San Francisco, CA)
- …we are seeking an innovative strategic engineer to help us scale. Role Overview The Senior Machine Learning Engineer will play a central role in designing, ... building, and optimizing large‑scale machine learning pipelines for AI video model...production environments and measuring model accuracy. Proficiency in ML ops tools (eg, MLflow, Weights & Biases) for experimentation,… more
- BlackLine (Pleasanton, CA)
- …accelerate their careers. Work, Play and Grow at BlackLine! Make Your Mark: As a Machine Learning Operations Engineer, you will play a pivotal role in bridging ... science and production environments. This position requires a strong background in machine learning , software engineering, and operations to ensure the… more
- Material Security, Inc. (San Francisco, CA)
- As a Senior Technical Program Manager: Data Labeling at Material Security, you'll be part of a team of experienced, world-class engineers, working to protect our ... For Must Haves 5+ years of program management experience, ideally in ML ops , data labeling, or AI infrastructure. Proven track record building and managing remote… more
- Comfy (San Francisco, CA)
- …here. Our organization is flat and there is no hierarchy, only categories: dev, arts, prod, ops , etc (and no, there is no one here with the title of Member of ... Technical Staff, it's long and silly for a job title). The only thing that matters is the quality of your cultural fit and execution. We work hard and demand a lot of each other. But we have fun: everyone is here to make something meaningful that will end up… more
- Genentech (South San Francisco, CA)
- …Facilitate the implementation of AI models that take advantage of advances in machine learning and artificial intelligence Who You Are Bachelor's or Master's ... colleagues such as Data Engineers, Product Leaders, and Tech/ML Ops as well as directly with our key partners...- $302,000 (Principal Software Engineer) and $189,200 - $351,400 ( Senior Principal Software Engineer). Actual pay will be determined… more
- Ellipsis Health (San Francisco, CA)
- …analytics, ML Ops , and business intelligence Collaborate closely with Data Science, Machine Learning , and DevOps teams to implement end-to-end ML Ops ... capital teams. We are currently looking for an experienced Senior Data Platform Engineer, at the Staff or Principal...as Airflow, dbt, and others Experience working with ML Ops platforms and supporting Data Science teams Knowledge of… more
- Apple Inc. (San Francisco, CA)
- …ML Ops practices, continuous integration, and deployment pipelines for machine learning models. Familiarity with model distillation, low-rank approximations, ... Senior Software Engineer, Model Inference San Francisco Bay...deployment. Preferred Qualifications Master's or PhD in Computer Science, Machine Learning , or a related field. Understanding… more
- Oscar Health Insurance (San Francisco, CA)
- …is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML ... Senior Data Scientist, Advanced Risk Modeling Hi, we're...develop, and validate advanced ML/AI models (eg, regression/classification, deep learning , NLP, gradient boosting, LLM experimentations) to solve complex… more
