54 machine learning engineer jobs at 30 companies in Riverside, CA
🚀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.
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
San Francisco or New York or Los Angeles or Seattle
$200k-$345k/yrHybridFull Time
Whatnot: Social marketplace for buying and selling via live streams
4+ YOE4+ years building ML systems,3+ years software engineering,1+ year Python,experience with databases,monitoring,cloud services and production ML deployments.
8+ YOEPhD (8+ yrs) or MS (10+ yrs) in a relevant technical field; 8+ years designing, building, and deploying ML/DL/Gen-AI models; hands-on experience with production ML/LLM ops, scalable systems, and leading technical teams.
Palo Alto or Seattle or San Francisco or Los Angeles or New York City or Bellevue
$178k-$313k/yrOnsiteFull Time
SnapNYSE: SNAP: Develops social media applications and augmented reality technology.
5+ YOE5+ years post-Bachelor’s ML experience (alternatively advanced degree + fewer years); strong ML fundamentals, production ML lifecycle experience, collaboration and mentorship, proficiency with modern ML frameworks and AI tools.
Confie: Distributes personal and small commercial insurance products nationwide.
Master's in a quantitative field required; strong Python and SQL skills; experience with large data, Snowflake/Snowpark, LLMs, LangChain, and deploying production ML/LLM solutions.
Field AI: Develops autonomous software brains for robots in unstructured environments.
4+ YOEBachelor's or Master's in CS/AI/Statistics or related, 4+ years industry ML experience, proficiency in Python and PyTorch/TensorFlow/JAX, C++ for deployment, deep learning and navigation stack knowledge, production deployment experience.
Esri: Global leader in geographic information system (GIS) software.
8+ YOE8+ years software engineering experience, strong Python proficiency, production system design, ML model integration, cloud-native and CI/CD/MLOps experience, strong communication and ownership.
Capital Group: Providing active investment management and research-driven financial strategies
7+ YOE7+ years software engineering experience; strong Python; production ML, GenAI/LLM and agentic systems experience; hands-on Databricks and/or AWS; CI/CD and IAC experience; bachelor’s degree in CS/IT or related.
Staff Machine Learning Engineer - League of Legends
Los Angeles, California, United States
$229k-$320k/yrOnsiteFull Time
Riot Games: Developing and publishing competitive multiplayer video games.
6+ YOEBachelor's or equivalent experience; 6+ years delivering ML systems (3+ in applied modeling); experience with complex data, production ML, mentoring, strong communication.
Machine Learning Engineer, Monetization Data Alignment
Singapore or Los Angeles or New York City or London or Dublin or Paris or Berlin or Dubai or Jakarta or Seoul or Tokyo
OnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
3+ YOE3+ years ML experience, BS or above in CS/AI/math/stat, strong ML/deep learning background, experience taking models to production, expertise in LLM/MLLM/NLP/CV/multimodal techniques, strong problem solving and collaboration skills.
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Experience building end-to-end ML deployment and low-latency inference infra for real-time ad systems; handling large-scale data with Spark; forecasting ad metrics; building scalable simulations; cross-functional collaboration.
San Francisco or Los Angeles or New York City or Toronto
$239k-$417k/yrHybridFull Time
TubiNASDAQ: FOXA: Free ad-supported streaming service for movies and television.
8+ YOE8+ years in production ML; MSc/PhD in CS/ML/Stats/Math; DL for recommendations (TensorFlow/PyTorch); end-to-end ML pipelines; strong statistics; systems understanding.
TensorFlow, PyTorch, Machine Learning pipelines, data extraction, model training, feature development, testing, deployment
3+ YOE3+ years post-bachelor’s ML experience (or advanced degree + experience). Experience building and deploying ML models, strong ML algorithm knowledge, collaboration and mentorship skills, and experience with ML frameworks.
TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, Microsoft Excel
San Jose or Pleasanton or Houston or Iselin or Denver or Seattle or New York or Irvine or Boston or Brooklyn or San Diego or Bellevue or Milpitas or Austin or Mountain View or Raleigh–Durham (RTP) or Los Altos or Redwood City or San Francisco or Santa Clara or San Mateo or Dallas or Sunnyvale or Palo Alto
$292k-$369k/yrRemoteFull Time
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
7+ YOEPhD in Computer Science or related field with 7+ years of industry research; strong ML/LLM, NLP, anomaly detection, multi‑modality modeling; proficient in Python, PyTorch/TensorFlow; productionization experience.
Kinetic Automation: Automates digital vehicle maintenance and ADAS calibration using robotics.
Hands-on experience training and evaluating deep models for segmentation and detection (PyTorch); understanding vision transformers and 2D/3D data; strong Python skills.
NetflixNASDAQ: NFLX: Global video streaming and media production service.
7+ YOE7+ years software engineering; 3+ years ML infrastructure, model serving, or ML platform experience in ads/real-time decisioning; real-time model serving with sub-20ms latency; proficiency in Java, Python, or Scala; experience with ML serving frameworks and real-time feature pipelines; strong model monitoring and production readiness.
Java, Python, Scala, ML serving frameworks, feature stores, model registries