909 machine learning engineer jobs at 268 companies in California
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
The Marlin Alliance: Provides digital transformation and automation services to defense agencies.
10+ YOE10+ years experience designing, developing, and deploying machine learning models for operational systems; strong Python and software engineering skills; cloud and containerization experience; ability to work in naval/DoD environments.
Analog DevicesNASDAQ: ADI: Designs and manufactures semiconductors for signal processing and power management.
5+ YOE5+ years industry experience in software development, robotics or machine learning; Master’s or PhD in a related field; ability to work independently and across cross-functional teams.
QualcommNASDAQ: QCOM: Designs and manufactures semiconductors and wireless telecommunications products.
6+ YOEExperience in compiler development, computer architecture, machine learning, and software engineering; degree in CS/math/engineering; strong communication and research skills; experience with ML compiler tools and generative AI workflows.
IntuitiveNASDAQ: ISRG: Robotic-assisted systems for minimally invasive surgery.
1+ YOEMaster's +4 years or PhD +1 year (or equivalent experience). Expertise in medical image analytics/computer vision/machine learning. Strong Python and/or C++ skills, communication, and technical ownership.
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
5+ YOE5+ years applied machine learning experience; strong statistical, optimization, and experimental methodology knowledge; proficient in Spark, Python or Java; experience with real-time, low-latency systems and distributed ML frameworks.
MaxInsights: Provides robot data collection for physical AI development.
3+ YOE3+ years building and shipping ML systems, proficiency in Python and major deep learning frameworks (PyTorch or TensorFlow), experience with training/evaluation/deployment and production ML pipelines.
Shipt: Provides same-day delivery services from local retailers via app.
5+ YOE5+ years of machine learning and backend software engineering; backend in Go/Java and Python; embeddings, similarity search, ranking models; ML pipelines; distributed systems; SQL/NoSQL; API serving; A/B testing.
DocuSignNASDAQ: DOCU: Provider of e-signature and intelligent agreement management software.
5+ YOE5+ years ML or software engineering experience, expertise in distributed systems, ML lifecycle, LLMs and RAG, production model deployment, Python and PyTorch experience.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
6+ YOE6+ years industry ML experience, BS/MS in CS/Engineering or equivalent, strong C++ and Python skills, experience with LiDAR/camera perception, deep learning frameworks, and ML productionization.
Motorola SolutionsNYSE: MSI: Provides mission-critical communications and public safety technology.
4+ YOEBachelor's degree with 4+ years as an ML engineer; 2+ years of Python and PyTorch or TensorFlow; U.S. citizen able to obtain security clearance; strong math, ML, signal processing, and communication skills.
Python, PyTorch, TensorFlow, Software Defined Radio (SDR), Linux, Docker, Kubernetes, Jira, Microsoft Azure, Microsoft Azure DevOps, AWS
Clera: AI talent agent matching professionals with high-growth startup roles
3+ YOE3+ years ML engineering experience, strong ML fundamentals, proficiency in Python and deep learning frameworks, experience with distributed training and cloud ML infrastructure, and building end-to-end ML pipelines.
RobloxNYSE: RBLX: Platform for creating and playing user-generated 3D digital experiences.
Expertise in machine learning and modeling, strong distributed systems fundamentals, ability to architect ML infrastructure for production, experience with logs/traces/metrics, and strong communication skills.
General Atomics: Designs and manufactures unmanned aircraft and nuclear technology systems.
2+ YOEBachelor's or master's in CS/engineering/math (or equivalent experience), 2+ years ML experience, strong ML fundamentals, scalable software architecture, edge model optimization, proficiency in Java, JavaScript, C/C++, Python, TensorFlow, PyTorch, ability to obtain DoD Secret clearance.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Applied machine learning and strong software engineering skills; experience with ML/LLM and distributed systems; focus on building privacy-preserving, generative AI features for consumer products.
ExponentNasdaq: EXPO: Scientific and engineering consulting firm for complex technical challenges.
Ph.D. in mechanical/aerospace/systems engineering, specialized knowledge in dynamic systems/robotics/physics engines and machine learning, proficiency in Python, strong communication and consulting skills, must be authorized to work in the U.S.
Kodiak RoboticsNASDAQ: KDK: Develops autonomous driving technology for commercial trucking and defense.
MS or PhD in Computer Science, Robotics, Machine Learning, or related field; production ML deployment experience; Python/C++ with PyTorch/TensorFlow; distributed training; strong ML fundamentals and software engineering skills; cross-team collaboration.