Staff Machine Learning Engineer

General Motors - Charleston, WV

Full-time - Mid Level

Remote - Charleston, WV

Transportation Equipment Manufacturing

About the position

The Staff Machine Learning Engineer will play a pivotal role in driving the vision and execution of LiftIQ, a Marketing Experimentation and Optimization Platform at General Motors. This position requires a technical leader with expertise in building scalable Machine Learning data products focused on experimentation and optimization. The engineer will be responsible for designing and implementing statistical and machine learning models that leverage both first-party and third-party data sources. Collaboration with cross-functional teams, including engineering, data science, and UX/UI design, is essential to refine the platform that enables effective experimentation, measurement, and optimization. In this role, the Staff ML Engineer will work closely with stakeholders from GM's various vehicle brands, subscriptions, and customer care products, as well as the Performance Driven Marketing team. The goal is to ensure business acceptance of models, metrics, and visualizations that demonstrate experiment performance and optimization. The engineer will develop platforms, tools, and capabilities that empower stakeholders and data scientists to identify marketing initiatives with high return on investment. The team is dedicated to delivering future-focused, consumer-centric, personalized solutions that will help GM navigate its transition to electric vehicles (EVs). The Staff ML Engineer will also be responsible for leading a team, fostering collaboration, and guiding the team through technical challenges. They will raise the bar for machine learning engineering by improving best practices, producing exemplary code, and ensuring thorough monitoring and documentation. A strong understanding of business context and functional domain expertise in marketing experimentation systems is crucial for driving incremental value. The engineer will manage stakeholder relationships, prioritize requests, and translate curiosity into actionable data products and insights. Additionally, they will ensure high-quality delivery across the organization by creating internal structures and frameworks that promote accountability and staff development.

Responsibilities

• Work closely with Data Scientists, Engineers, and Product Owners to optimize ROI for marketing stakeholders.
• Design and engineer efficient and resilient ML platforms and software products that operate at scale.
• Participate in design, architecture, and code reviews, fostering collaboration and guiding the team through technical challenges.
• Improve ML engineering best practices by producing exemplary code, documentation, automated tests, and thorough monitoring.
• Utilize contextual business knowledge and functional domain expertise in marketing experimentation systems to drive value.
• Develop a strategic roadmap with executable outcomes to provide business value and impact.
• Manage stakeholder relationships, prioritize requests, and translate them into realized data products and insights.
• Lead and develop a team capable of tackling diverse business problems, identifying strengths and weaknesses, and allocating resources accordingly.
• Ensure high delivery quality through the creation of internal structures and frameworks for accountability and staff development.

Requirements

• Bachelor's degree in computer science, Data Science, Applied Mathematics, or a related quantitative field, or equivalent experience.
• 5-8+ years of experience in full stack software development, machine learning, data science, or quantitative insights.
• Strong programming skills in Python and Spark for implementing machine learning algorithms and data pipelines.
• Proficiency in full stack software development using React and custom visualization using D3.
• Comprehensive understanding of diverse machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• 2+ years of experience successfully leading technical teams.
• Experience building customer platforms and demonstrating platform and data governance.
• Understanding of causality principles and modeling of incrementality.
• Familiarity with customer lifetime value, retention, and churn models.
• Experience managing and influencing stakeholders, analysts, architects, and engineers.
• Ability to evaluate the big picture and solve business problems beyond metrics.
• Strong drive for results and intellectual curiosity; self-starter.
• Ability to train, mentor, and evaluate the technical capabilities of others.
• Strong project management skills with a track record of success.
• Ability to prioritize and manage multiple tasks and projects without sacrificing quality.
• Excellent team player with strong interpersonal skills and a collaborative work style.
• Excellent oral, listening, presentation, and written communication skills.

Benefits

• Medical, dental, and vision insurance options
• Health Savings Account and Flexible Spending Accounts
• Retirement savings plan with company and matching contributions
• Sickness and accident benefits
• Life insurance
• Paid vacation and holidays
• Tuition assistance programs
• Employee assistance program
• GM vehicle discounts
• Global recognition program for peers and leaders