217 ml engineer jobs at 117 companies in Fontana, CA
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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.
New York City or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or Cleveland or Oklahoma City or Austin or Albany or Chicago or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or San Francisco or Morristown or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$80k-$294k/yrHybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
6+ YOEBachelor's degree or equivalent experience, 6+ years developing and deploying AI/ML solutions, programming proficiency, experience with ML frameworks, big data, databases, and cloud platforms.
Python, R, Java, TensorFlow, PyTorch, Hadoop, Spark, AWS, Microsoft Azure, Google Cloud, D3.js, ggplot
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.
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
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.
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.
Sr. AI/ML Engineer - Remote or Hybrid in Eden Prairie, MN or Irvine, CA
Eden Prairie or Irvine
$120k-$215k/yrHybridFull Time
UnitedHealth GroupNYSE: UNH: Provides health insurance and technology-enabled health care services.
5+ YOE5+ years engineering experience, strong Python skills, practical experience with LLMs, RAG, embeddings, vector search, prompt engineering, model APIs, data pipelines, and responsible AI practices.
Principal Machine Learning Engineer, Content ML, Level 7
Los Angeles or Santa Monica or Seattle or Bellevue or San Francisco or Palo Alto or New York City
$235k-$414k/yrOnsiteFull Time
SnapNYSE: SNAP: Develops social media applications and augmented reality technology.
9+ YOE9+ years post-bachelor ML experience (or Master’s+8, PhD+5), 2+ years technical leadership, deep RecSys and large-scale ML experience, model design/deploy/optimization, strong software engineering and communication skills.
TensorFlow, PyTorch, Electronic Medical Records (EMR)
AI ML Solution Architect & Developer Senior Manager
Los Angeles or McLean or New York City
$159k-$255k/yrHybridFull Time
ProtivitiNYSE: RHI: Global consulting firm providing risk management and internal audit services.
7+ YOE7+ years in professional services or industry with hands-on generative AI experience, cloud platform expertise, programming in Python/R/SQL, ML frameworks, AI security and governance, and team leadership for client engagements.
AWS, Microsoft Azure, Google Cloud, Python, R, SQL, TensorFlow, PyTorch, Scikit-learn, Langchain, Hadoop, Spark
BlackLineNASDAQ: BL: Provides cloud-based financial close and accounting automation software.
2+ YOE2+ years in Python/Java/Scala, experience building PySpark ETL, ML/LLM production pipelines, cloud (GCP/AWS/Azure), ML frameworks, orchestration, containerization, and observability.
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.
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.
9+ YOE9+ years post-Bachelor ML experience (or Master’s+8 or PhD+5), 2+ years technical leadership, experience developing scalable recommendation/ranking ML systems, strong ML/deep learning background, production engineering skills.
ProtivitiNew York Stock Exchange: RHI: Global consulting firm providing risk, advisory, and technology services.
5+ YOEBachelor's degree,5+ years professional experience in services or industry,3+ years hands-on generative AI,leadership experience,cloud and AI platform familiarity,proficiency in Python/R/SQL and AI frameworks.
AWS, Microsoft Azure, Google Cloud, Python, R, SQL, TensorFlow, PyTorch, Scikit-learn, Langchain, Hadoop, Spark
Relativity Space: Designing and manufacturing 3D-printed rockets and launch vehicles.
3+ YOEPhD in a technical field and 3+ years of experience; expertise in transfer learning, domain adaptation, or fine-tuning; multi-modal data fusion; end-to-end problem ownership; collaboration with scientists and engineers.
Python, TensorFlow, PyTorch, scikit-learn, ML frameworks, multi-modal data fusion
EY-Parthenon - Strategy and Execution - Growth Platforms - AI/ML Engineer - Sr Associate/Consultant (New York, NY, US, 10001-8604)
New York or Atlanta or Boston or Chicago or Dallas or Denver or Detroit or Houston or Los Angeles or McLean or Hoboken or Philadelphia or San Francisco or Seattle
$130k-$185k/yrHybridFull Time
EY: Global firm providing audit, tax, and professional consulting services.
2+ YOEBachelor's degree plus 2+ years (or graduate degree plus ~18 months), experience designing and deploying ML models, familiarity with LangChain, Haystack, RAG, vector DBs (Pinecone, Weaviate, Chroma), Python and PyTorch/TensorFlow, and building data pipelines and APIs.
Layup Parts: Manufactures high-speed composite parts and tooling for aerospace.
5+ YOE5+ years with robotic arms and industrial systems, mechanical grounding, experience bringing robotics to production, familiarity with PLC integration and vision/ML systems.
Fanuc, PLC, Beckhoff, Siemens, Allen-Bradley, C++, Rust, ML
PDS Health: Provides business and administrative support services to dental practices.
8+ YOE8+ years AI/ML engineering or MLOps experience, bachelor's in CS/Engineering or +5 years experience, certifications in cloud ML, expertise in model deployment, MLOps, security and regulatory compliance.
AI Engineer/ML Engineer - Senior Developers - AI Training - Long Beach, US
Long Beach, California, United States
$80/hrRemoteContract
Prolific: Platform connecting researchers and AI developers with verified participants.
BS/MS/PhD in CS/AI/Robotics or related field; production experience building/deploying/fine-tuning ML models; expertise in deep learning, LLM workflows (Prompt Engineering, RLHF, RAG); strong analytical rigor to spot hallucinations and data contamination.