AI/ML Engineer - Model Inference
General Motors2 days ago
Sunnyvale, CA, USAMid Level
H1B sponsor
Base Salary
$118k - $221k/yr
Responsibilities
- Design, build, and productionize data-processing and featurization pipelines for large-scale multimodal data.
- Improve inference frameworks for computer-vision and multimodal models with a focus on reliability, extensibility, and operational simplicity.
- Optimize end-to-end pipeline scalability and cost efficiency across compute utilization, throughput, storage, and query performance.
- Collaborate with machine-learning, infrastructure, and evaluation partners on experimentation and production systems.
- Develop evaluation methods for model quality, retrieval quality, and system-level performance.
- Define practical solutions for ambiguous problems and move them from prototype to production while maintaining engineering quality.
Requirements
- Bachelor’s, master’s, or doctoral degree in Computer Science, Electrical Engineering, Robotics, or a related technical field, or equivalent practical experience.
- Experience building production data-processing or machine-learning pipelines at scale.
- Experience with featurization, embeddings, inference, or retrieval systems for vision or multimodal workloads.
- Strong understanding of computer-vision models and the practical challenges of deploying them in production.
- Experience evaluating machine-learning systems with metrics, experiments, and regression safeguards.
- Ability to work hands-on in fast-moving environments with incomplete information and drive execution through ambiguity.
- Competitive qualifications include world models, large-scale world-understanding systems, simulation workflows, synthetic data, vector search, approximate-nearest-neighbor retrieval, large-scale embedding infrastructure, embodied AI, autonomous systems, or safety-critical machine-learning applications.
Benefits
- Health, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings, sickness and accident benefits, life insurance, paid vacation and holidays, tuition assistance, employee assistance, and GM vehicle discounts.
- The role is remote, with reporting to a GM hub three times per week or at another frequency set by the manager when the employee lives within a specified radius.
- Relocation benefits are available for candidates who qualify under company policy.
- Bonus potential is available through an incentive pay program based on company, job-level, and individual performance.
Categories
Data EngineeringML Engineering
About General Motors
General Motors designs, manufactures, and sells cars, trucks, and electric vehicles for consumers and commercial fleets under brands including Chevrolet, GMC, Cadillac, and Buick. A public company on the NYSE headquartered in Detroit and founded in 1908, it operates globally and is developing EVs on its Ultium battery platform. Revenue comes from vehicle and parts sales, connected services such as OnStar, and financing through GM Financial.