Job Description

Employment Type: Full-time

Position Overview

This role is part of the Data Search and Mining group, responsible for providing high-quality data for Foundational Drive Model training and evaluation at scale. The organization utilizes Multi-Modality Models, VLM, and MLLM to deliver high-precision search and mining solutions for AV training and evaluation. This position will be critical in accelerating experiments on cutting-edge search capabilities and SOTA models, and then productionizing them at a company scale. The goal is to provide scalable and cost-efficient mining solutions capable of handling petabyte-level data and supporting key training and evaluation projects across the company.

Remote Work Policy

This role is based remotely. However, if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, or Mountain View, you are expected to report to that location at least three times a week.

Responsibilities

• Evaluate and apply SOTA multiple modality machine learning models to search and mining needs.
• Perform fine-tuning, evaluation, and deployment of Multi-Modality MLLM models.
• Conduct bulk inference for models.
• Evaluate and improve data quality.
• Provide cost estimation and analysis.
• Build and utilize AI-Agent capabilities.
• Support data pipeline orchestration on distributed backend systems.
• Integrate with company-level infrastructure, including data infrastructure, compute platforms, labeling, and simulation.
• Support autonomous vehicle (AV) technologies and understand the data challenges in the AV or Robotics industry.
• Experiment with and learn the latest AI developments.

Requirements

• 4+ years of experience in robotics or latency-sensitive backend services.
• Proven experience in machine learning and classification.
• Familiarity with ML frameworks such as TensorFlow or PyTorch.
• Experience building highly performant ML and system pipelines.
• Strong programming skills in modern C++ or Python.
• Experience with profiling CPU and/or GPU software, process scheduling, and prioritization.
• Passionate about self-driving car technology and its impact.
• Expertise in setting up scalable, efficient, fault-tolerant, and easily extensible architectures.
• Ability to design across multiple systems, investigate sophisticated areas, and understand systems outside of your domain.
• Ability to shift contexts between coding, design, technical strategy, and mentorship, with excellent judgment on when to switch.
• Experience working with Multiple Modality models.

Compensation & Benefits

• Salary Range: $134,000 - $205,000 (This is a good faith estimate and may vary based on location and other factors).
• Bonus Potential: Incentive pay program based on company, job level, and individual performance.
• Benefits: Comprehensive health and wellbeing programs including medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance, employee assistance program, and GM vehicle discounts.
• Relocation: This job may be eligible for relocation benefits.

About GM

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