88 machine learning jobs at 45 companies in Lancaster, CA
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Machine Learning Scientist
Culver City, California, United States
OnsiteFull Time
Spotter: Provides capital and data insights to YouTube content creators.
5+ YOEMaster's or PhD in a quantitative field, 5+ years building and deploying production ML models; expertise in deep learning, reinforcement learning, recommendation/ranking systems; strong Python and SQL skills; excellent communication.
Hadrian: Building autonomous factories for aerospace and defense manufacturing.
5+ YOE5+ years deep learning experience with 2+ years on multimodal image+text models, strong Python and PyTorch, production deployment experience, MS/PhD preferred in CS/EE or related.
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.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
7+ YOEBachelor’s in CS or related (or equivalent experience), 7+ years software engineering, 5+ years deploying ML systems, expertise in deep learning/statistics, experience with Spark, Databricks, AWS services, Kafka/Kinesis, Datadog, REST, and leadership/mentoring skills.
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.
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
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.
Warner Bros. DiscoveryNasdaq: WBD: Produces and distributes multimedia entertainment content and news worldwide.
5+ YOE5+ years ML engineering experience, deep Python, Databricks and Snowflake proficiency, production ML deployment, ML evaluation and experimentation, strong software engineering and communication skills.
Niagara Bottling: Manufactures and distributes private label bottled water and beverages.
5+ YOEBachelor's in a quantitative field required (Master/PhD preferred); strong Python and ML framework experience (PyTorch/TensorFlow); production MLOps, cloud, and industrial data experience; preferred 5+ years in ML/industrial AI.
Esri: Global leader in geographic information system (GIS) software.
3+ YOE3+ years Python and SQL experience, ML for time series/quantitative modeling, full-stack ML (ETL→training→deployment), strong CS fundamentals, backtesting/quant finance or high-performance computing, AWS experience preferred.
5+ YOEPhD (5+ yrs) or MS (8+ yrs) in CS/Stats/Economics (or related), 6+ yrs ML experience, 4+ yrs GenAI experience, expertise in LLMs, RL, recommendations, causal inference, model deployment, and strong problem-solving and collaboration skills.
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.
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
5+ YOE5+ years post-Bachelor’s ML experience (or equivalent with advanced degree), strong ML knowledge, experience building/deploying large-scale ML systems, familiarity with ranking/recommendation/search/image ML, strong collaboration and mentorship skills.
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.
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.
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Advanced degree in a quantitative field, proficiency in Python/Scala/Java, deep ML and optimization knowledge, experience deploying algorithms on large-scale production data, and experience building bidding algorithms.
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