Remote Ee Jobs in California (NOW HIRING)

Minimum Qualifications

• Master's degreerequired, PhD preferred, in CS, Robotics, EE, or related fields.

• 8+ years of applied ML/AI engineering experience, with at least3+ years delivering production AI systems at scale.

• Deep knowledge of at least one modern multimodal or 3D computer vision pipeline (e.g.,NeRF, Gaussian Splatting,world models,diffusion-based generation).

• Hands-on experience building AI agents ortoolsanddeploying machine learning models in production.

• Strong programming skills in Python, along with experience usingamodern ML/AI librarysuch asPyTorch, TensorFlow, OpenAI APIs,HuggingFace,gsplat, etc.

• Solid understanding of ML fundamentals including data preprocessing, training pipelines, evaluation metrics, and model performance optimization.

• Ability to move fluidly betweenresearch exploration and practical engineering.

• Demonstrated ability to lead projects end-to-end with minimal guidance.

Preferred Qualifications

• Provenexperience fine-tuning andoptimizingfoundation models(LLMs, VLMs, diffusion, 3D neural models).

• Experience integrating models intosimulation pipelines, robotics systems, mapping workflows, or AVperceptionstacks.

• Experience with scene understanding, or computational geometry

• Background in 3D geometry, graphics, or sensor modeling.

• Proficiencywith vector search/RAG systemsand embedding pipelines.

• Familiarity with GCP or other cloud platforms, Kubernetes, Docker, and production observability.

• Prior experience mentoring teams, defining architecture, and leading multi-quarter technical initiatives.

Compensation:

• The expected base compensation for this role is: $189,300 - $290,700. Actual base compensation within the identified range will vary based on factors relevant to the position.
• You also need to include general information about potential commissions, if applicable.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
  

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
  

Company Vehicle:
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Remote:
This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View/Sunnyvale], you are expected to report to that location three times a week, at minimum.