Senior Machine Learning Engineer

Senior Machine Learning Engineer

General Motors' Marketing Applied Sciences (MAS) team is seeking an experienced, technical-oriented, impact-delivering expert in Gen AI and machine learning with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML products to support key business initiatives. This role sits within the Enterprise Data, Analytics & Insights (EDAI) organization and plays a critical part in transforming GM's data into actionable, personalized experiences.

Specific duties may include building and utilizing AI-Agent capabilities. Multi-modality MLLM model evaluation, fine-tuning, deployment, as well as bulk inference. Evaluate data quality and improve it. Provide cost estimation and analysis. Support data pipeline orchestration on distributed backend system.

Success in this role requires a blend of technical aptitude, marketing know-how, and cross-functional collaboration. This role is ideal for someone who thrives at the intersection of data science and marketing strategy, and who is eager to shape the future of customer experiences at one of the world's most iconic automotive brands.

What You'll Do:

• Design, build, and deploy autonomous AI agents using LLMs and agentic architecture frameworks.
• Manage memory, tools, goals, and execution environments.
• Build interfaces between agents, internal data systems, RAG pipelines, and cloud-based services.
• Collaborate with internal teams and stakeholders to rapidly prototype and iterate on novel agent capabilities.
• Demonstrate software engineering (SWE) skills, focusing on distributed backend development.
• Experiment and learn the latest AI development.
• Elevate system design, diagnostics, and operational excellence to higher standards.
• Collaborate with cross-functional teams to integrate new features and technologies into the platform.

Your Skills & Abilities (Required Qualifications):

• Bachelors or higher degree in Computer Science or equivalent major.
• 5+ years professional software engineering or machine learning engineering experience.
• 5+ years specialized experience in AI/ML infrastructure.
• Strong programming skills in Python.
• Experience building autonomous agents using frameworks like CrewAI, Agno, LangChain Agents, Autogen.
• Deep understanding of LLM internals.
• Experience integrating multiple data sources and orchestrating multi-step agent workflows.
• Familiarity with vector databases and search retrieval techniques.
• Experience with distributed computing, GPU computing, and cloud environments.
• Demonstrated ability to lead projects that bridge marketing, data science, and technology.
• Ability to simplify complex data strategies into actionable marketing solutions.
• Strong collaborative mindset and experience working with cross-functional teams.

Compensation: The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified 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.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY.