Senior Software Engineer - Machine Learning Assistant

Job Description

The Role:  

We are seeking a Sr. Software Engineer to lead the agent platform – GM’s ML assistant for experiment automation and infrastructure debugging. You will own the architecture and implementation of the LLM‑plus‑tools system that helps ML engineers submit, monitor, debug, and evaluate experiments with high reliability and low latency.

What You’ll Do:

• Own architecture, implementation, and operations for the agent orchestrator, skills, tools, and APIs.
• Design and evolve a multi‑agent / skills architecture with clear contracts, schemas, and validation between agents and tools.
• Build ML experiment lifecycle skills:
• Queue‑aware experiment submission and CI/CD integration o Async job monitoring and alerting across logs/metrics/job state o Failure diagnosis and recovery (classification, auto‑fix, resubmit) o Convergence review and evaluation report generation.
• Implement integrations with experiment metadata, observability stacks, CI/CD, GPU queues, identity, and auth.
• Establish end‑to‑end observability for Agent: traces, metrics, dashboards, and quality signals (e.g., routing accuracy, evidence coverage, hallucination rate, latency).
• Raise the bar on safety and correctness for LLM+tools:
• Routing guards, entity resolution, and post‑synthesis validation o PII‑safe logging, secret handling, and robust access control.
• Define and maintain APIs and event schemas that make agents easy to integrate into other tools and workflows.

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• Drive projects from requirements → design → implementation → rollout → continuous improvement.
• Set engineering standards and mentor other engineers on the team.
  
  
  

Your Skills & Abilities (Required Qualifications)

• At least 7+ years of experience building production-level frontend applications using React, Angular, WebGL or similar frameworks
• Strong understanding of JavaScript/TypeScript and dynamic frontend fundamentals
• Experience building, deploying, and operating high-availability services
• Led large technical initiatives from idea to operationalization and continuous evolution of technical solution to enable new business capabilities and improve efficiencies
• Ability to identify broad challenges (technical, functional, business challenges) worth tackling, and parse them into initiatives within and across engineering teams
• Experience creating ground up enterprise architecture, systems architecture, integration architecture standards, frameworks, and practices
• Programming experience in Python, Java, Go
• Experience working with cloud infrastructure, automations, configuration management, artifact management and building advanced CI/CD solutions
  
  

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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 $170,600- $261,300. 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.
  
  
  

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.
  
  
  

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits.

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.

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

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