Senior Machine Learning Engineer

Description
Role: This Role is part of the Data Search and Mining group, the organization is responsible for providing high quality data for our Foundational Drive Model's training and evaluation at scale. We utilized Multi-Modality Model, VLM, MLLM to provide high precision search and mining solutions for AV training and evaluation. This role will play a critical piece on accelerating experiments on cutting edge search capability and SOTA models, then productionize them to company scale. Provide scalable and cost-efficient mining solutions that are able to handle PB-level data. Support key training and evaluation projects across the company.
The specific duties may include Multi-Modality MLLM model evaluation, fine-tuning, deployment, as well as bulk inference. Evaluate data quality and improve it. Provide cost estimation and analysis. Build and Utilize AI-Agent capability. Support data pipeline orchestration on distributed backend system.
What You'll Do:

• Evaluate and apply SOTA multiple modality machine learning models to search and mining needs

• Modern ML modeling skills, perform fine-tuning, evaluation

• Integration with other company level infrastructure such as Data infrastructure, compute platform, labeling, as well as simulation

• Strong software engineering (SWE) skills, focusing on distributed backend development, batch data processing

• Support autonomous vehicle (AV) technologies, understand the data challenges in AV or Robotic industry

• Enthusiastic to experiment and learn the latest AI development

Your Skills & Abilities:

• 4+ years of experience in the field of robotics or latency-sensitive backend services

• Proven experience in machine learning and classification. Familiar 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 on the world

• Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions.

• Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain.

• Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need.

• Experience working with Multiple Modality models

Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is $134,000 to $205,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• 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.

Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum.
Relocation: This job may be eligible for relocation benefits.
#LI-MH2
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.