61 machine learning engineer jobs at 28 companies in Palmdale, 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
Voyager TechnologiesNYSE: VOYG: Provides advanced defense and commercial space technology solutions.
5+ YOEMust obtain U.S. government clearance; 5-15 years experience; Bachelor's in engineering; strong ML/deep learning background; proficiency in Python/Matlab/C/C++; experience with SAR and computer vision.
AmgenNASDAQ: AMGN: Develops and manufactures biotechnology medicines for serious diseases.
Expertise in machine learning, MLOps and DevOps, Python and ML libraries (TensorFlow/PyTorch/Scikit-learn), cloud platforms (AWS/GCP/Azure), experience building ML pipelines, and advanced degree or extensive CS experience per listed qualification paths.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
5+ YOEExperience building and operating large-scale data/ML systems, strong distributed systems fundamentals, streaming/batch technologies (Kafka, Kinesis, Spark, Flink), Python, plus working knowledge of Java/Scala/Go/C++, cloud-native (AWS, containers, Kubernetes, IaC), observability, and collaboration skills; Bachelor's or Master's required.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
7+ YOEBachelor's in CS or related (or equivalent experience), 7+ years software engineering, 5+ years deploying ML systems, expertise in deep learning and feature engineering, cloud (AWS) and big data tech, leadership and observability experience.
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.
Machina Labs: Software-defined robotic platforms for flexible sheet metal manufacturing.
3+ YOEMaster’s or PhD in CS/ML/AI with 3-6+ years of ML experience; Python; Azure; Databricks/Spark; data wrangling; end-to-end ML; manufacturing context.
Harbor Freight Tools: Retailer of discount tools and power equipment.
2+ YOEBachelor's in CS/math/statistics/engineering, 2+ years ML engineering or data science experience in Big Data, experience with cloud (AWS/GCP/Azure), Python, SQL, PySpark, MLOps and CI/CD for model deployment and monitoring.
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.
8+ YOE8+ years ML experience; degree in a technical field; experience with ranking models and large-scale ML systems; strong collaboration and leadership.
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.
Machine Learning Engineer, Entry (Burbank, CA, US, 91505)
Burbank, California, United States
$124k-$186k/yrOnsiteFull Time
ParamountNASDAQ: PSKY: Produces and distributes media content across global entertainment platforms.
3+ YOE3+ years in MLE; Experience with GCP and MLFlow; Proficiency in TensorFlow/PyTorch; Knowledge of Vector DBs; Proven ability to solve Cold Start; Experience managing/deploying experiments.
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