324 ml developer jobs at 164 companies in Westminster, CA
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Principal ML Engineer
United States or El Segundo
$300k-$375k/yrRemoteFull Time
Prodege: Marketing and consumer insights platform powered by loyalty programs.
8+ YOE8+ years technical experience,5+ years building production ML systems,expertise in ranking/recommendation/ROAS/LTV/personalization,strong MLOps,experiment design,system design,technical leadership and mentoring.
San Jose or Waltham or San Francisco or Seattle or Los Angeles or New York City or California
$190k-$346k/yrOnsiteFull Time
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
8+ YOEMaster's or PhD in CS/ML/Data Science, 8+ years ML experience, expertise in LLMs, fine-tuning (SFT, RLHF, DPO, PEFT/LoRA), agent system development, evaluation frameworks; proficiency with PyTorch and agentic frameworks; strong communication and problem-solving.
PyTorch, LangChain, LangGraph, MCP, A2A, Agent Development Kit (ADK), Claude Code, Codex, Cursor
Mountain View or New York City or Dallas or Miami or Seattle or Los Angeles or Chicago
$111k-$174k/yrRemoteFull Time
Cognify Analytics: A technology focused on AI solutions and ML systems.
6+ YOE5–8 years in ML engineering or related field; strong Python and ML framework experience; production ML pipelines; MLOps knowledge; cloud platforms; effective communicator.
ML Engineer - Automated Evaluation and Adversarial Design
Culver City or Cupertino or San Diego or Seattle
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
4+ YOE4+ years in ML evaluation systems, 디자인 adversarial testing, Python, ML frameworks; experience with multi-turn AI evaluation and leadership in direction of evaluation efforts.
New York or Santa Monica or Los Angeles or Palo Alto or Chicago or Washington or Boston or Colorado or Seattle or San Francisco or San Diego or Reston
$145k-$210k/yrOnsiteFull Time
Cooley: Provides legal counsel to technology and life sciences companies.
5+ YOE5+ years building and deploying AI/ML solutions on cloud (Azure/AWS); strong Python, LLM/RAG and agentic app experience; knowledge of cloud security, compliance, and data privacy.
Azure, AWS, Python, LangChain, LangSmith, Pydantic AI, Microsoft Office, iManage
ML Engineer, Surrogate Modeling (Vehicle Engineering)
Hawthorne, California, United States
$125k-$175k/yrOnsiteFull Time
SpaceX: Designs and launches advanced rockets and satellite internet constellations.
1+ YOEBachelor’s in CS, data science, engineering, math, physics or related field; or 4+ years software dev experience. 1+ year Python for ML. Preferred: advanced degree and surrogate modeling experience.
Dassault SystèmesEuronext Paris: DSY: Develops 3D design and product lifecycle management software.
4+ YOE4+ years experience in ML/AI or software engineering with 2+ years in generative AI, B.S./M.S. in a technical field, proficiency in Python and ML frameworks, experience with LLMs, RAG, prompt engineering, and production deployment.
4+ YOE4+ years in MLOps/ML Engineering/DevOps, strong Python, Apache Airflow, MLflow, AWS (Batch, EC2, S3, IAM, CloudWatch), Docker, Git, SQL/Snowflake, monitoring/alerting, CI/CD, IaC, and experience with production ML lifecycle and healthcare security (HIPAA/SOC 2) preferred.
Booz Allen HamiltonNYSE: BAH: Provides technology and management consulting services to diverse organizations.
3+ YOE3+ years ML and software development experience with TensorFlow/Keras/PyTorch/Onnx and Python/C/C++; ability to obtain TS/SCI with polygraph; BS in STEM required.
Frisco or San Jose or Newport Beach or New York or Toronto or Waterloo
$172k-$283k/yrHybridFull Time
McAfee: Provides digital security and privacy software for consumers.
10+ YOE10+ years software development with technical leadership; cloud-native, agentic AI/ML, full-stack and distributed systems experience; Kubernetes, cloud platforms, and strong programming language proficiency.
SAPFrankfurt Stock Exchange: SAP: Sells enterprise resource planning and business management software solutions.
6+ YOEBS/MS/PhD in CS or related field; 6+ years shipping ML systems with 3+ years hands-on LLM/agent production experience; expert Python, PyTorch, inference optimization, agent frameworks, evaluation and observability.
Pivotal Health: AI platform automating healthcare insurance claim disputes for providers.
5+ YOE5+ years building production AI/ML systems, experience with LLMs and deployment, strong Python and backend engineering skills, experiment design, monitoring, and US work authorization without sponsorship.
Field AI: Develops autonomous software brains for robots in unstructured environments.
5+ YOE5+ years in distributed systems/ML platforms; strong Python; experience with Ray/Spark/Dask/Flink; design scalable data pipelines; cross-functional collaboration.
Senior ML Ops Engineer (Machine Learning Infrastructure)
Los Angeles, California, United States
$150k-$250k/yrHybridFull Time
Parallel Systems: Building autonomous battery-electric rail vehicles for freight transportation.
5+ YOE5+ years building large-scale systems with 2+ years on ML infrastructure; BS in CS/ML/engineering; proficiency in Python and Git; experience with CI/CD, distributed training, cloud ML architectures; strong communication and system design skills.
BDNYSE: BDX: Manufactures medical devices, surgical instruments, and pharmacy automation systems.
10+ YOE10+ years developing AI/ML algorithms for physiological and clinical data; expertise in signal processing, time-series modeling, model validation, and deployment to cloud and edge medical devices.
GungHo Online Entertainment AmericaTokyo Stock Exchange: 3765: Publishes and develops multiplatform online and mobile video games.
7+ YOEDesign, finetune, and ship ML/AI features for games; 7+ years experience in game development/ML systems; BS in CS or equivalent; strong C++/engine and low-latency inference experience; mentoring and cross-discipline communication.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
7+ YOE7+ years building production-grade data pipelines and distributed data systems; experience with streaming frameworks (Spark, Flink, Beam, Kafka Streams), SQL, cloud data platforms (AWS), Databricks, Snowflake, Airflow; proficiency in Python, Java, or Scala; Bachelor's/Master's in CS or related.
Anduril Industries: Defense technology building autonomous military hardware and software.
Experience building ML training, orchestration, and dataset management infrastructure; strong Python, Rust exposure (PyO3,Maturin) preferred; familiarity with TensorFlow/PyTorch, distributed training, MLOps tooling, Kubernetes; U.S. Person required; Top Secret clearance eligibility desirable.