11 entry level machine learning engineer jobs at 10 companies in Fairfield, CA
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Machine Learning Engineer
Mountain View or Bellevue or San Francisco
$143k-$215k/yrOnsiteFull Time
UnityNYSE: U: Provides software for creating real-time 3D interactive content.
Bachelor's in CS or related, strong foundation in ML systems or distributed systems, experience with Python and data-intensive workloads, familiarity with ML frameworks and workflow orchestration.
Lawrence Livermore National Laboratory: Develops science and technology for United States national security.
Ability to develop ML and LLM-centric software for HPC and multi-modal sensor data; Python/C++/Java proficiency; familiarity with reinforcement learning, agentic AI, GNNs, MCP; ability to obtain DOE Q clearance; BS required, MS preferred.
Python, C++, JAVA, Flux, SLURM, Large Language Model (LLM), Model-Context-Protocol (MCP)
CoherentNYSE: COHR: Manufactures lasers, engineered materials, and optical networking components.
2+ YOEBS (5 yrs) or MS/PhD (2 yrs) in EE/CS/Physics/Photonics; proven AI/ML model development and deployment experience; proficiency with TensorFlow, PyTorch, scikit-learn, Python, C/C++; cloud and on-prem inference experience; photonics/manufacturing domain knowledge preferred.
Mistral AI: Developing frontier artificial intelligence models and enterprise AI solutions.
2+ YOEPhD or master in AI/data science,2+ years technical experience,LLM fine-tuning and RAG/agent experience,API and product deployment,Python and PyTorch proficiency,strong communication;fluent English.
[2026] Senior Machine Learning Engineer (Systems), Embodied AI/NPCs, ML Platform - PhD Early Career
San Mateo, California, United States
$197k-$243k/yrHybridFull Time
RobloxNYSE: RBLX: Platform for creating and playing user-generated 3D digital experiences.
PhD (pursuing or completed) in a technical field; experience building end-to-end ML pipelines, model inference and deployment, distributed inference systems, Kubernetes and major cloud providers (AWS/Azure/GCP); strong systems and performance optimization skills.
Kubernetes, AWS, Azure, GCP, GPU, LLMs, Roblox Studio IDE
[2026] Senior Machine Learning Engineer (Systems), Embodied AI/NPCs, ML Platform - PhD Early Career
San Mateo, California, United States
$197k-$243k/yrHybridFull Time
RobloxNYSE: RBLX: Platform for creating and playing user-generated 3D digital experiences.
PhD (pursuing or completed) in CS or related field; experience building end-to-end ML pipelines, model inference/deployment, distributed inference and systems optimization, Kubernetes and major cloud providers (AWS/Azure/GCP).
QuinStreetNasdaq: QNST: Operates online marketplaces connecting consumers with service providers.
2+ YOEBachelor's in Computer Science or related,2 years experience with applied machine learning,statistical learning,optimization,scalable computing,and production-level software;EMR not mentioned.
2+ YOEPhD or equivalent experience, minimum 2 years leading research, 2 years with machine learning and language modeling, B.S./PhD-level research experience, strong communication and critical thinking.
Sunnyvale or San Francisco or Bellevue or New York City
$139k-$229k/yrHybridFull Time
LinkedInNASDAQ: MSFT: Professional social network for career development and job recruitment.
2+ YOEBA/BS in CS or related (or equivalent experience); 2+ years software design/development and programming (Java, Python); 2+ years machine learning, data mining, or NLP; strong communication and critical thinking.
DeepRoute.ai: Develops full-stack autonomous driving software and VLA models.
2+ YOEMaster's in Mechanical Engineering (or related) required; 2+ years in planning algorithms and autonomous driving software systems; proficiency in C++, Python, Machine Learning, Git, and simulation tooling.
Austin or Chicago or New York or Old Greenwich or San Francisco or West Palm Beach
$150k/yrOnsiteFull Time
WorldQuant: Develops systematic investment strategies through quantitative research and data.
Undergraduate or advanced degree in a quantitative field; programming in Python and/or C++; Linux experience; strong problem-solving and quantitative skills; interest in financial data, machine learning, and data engineering.