Staff Machine Learning Engineer

General Motors - Montpelier, VT

Full-time - Mid Level

Remote - Montpelier, VT

Transportation Equipment Manufacturing

About the position

The Staff Machine Learning Engineer at General Motors will play a pivotal role in driving the vision and execution of LiftIQ, a Marketing Experimentation and Optimization Platform. This position requires a technical leader with expertise in building scalable Machine Learning data products that facilitate 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 democratized capabilities that empower stakeholders and data scientists to identify marketing initiatives with high return on investment. The team is focused on delivering consumer-centric, personalized solutions that will help GM remain proactive and agile during its transition to electric vehicles (EVs). The Staff ML Engineer will also be responsible for designing and engineering efficient and resilient ML platforms and software products that can operate at scale. They will participate in design, architecture, and code reviews, fostering collaboration and guiding the team through technical challenges. The engineer will raise the bar for ML engineering by improving best practices, producing exemplary code, documentation, automated tests, and thorough monitoring. They will possess contextual business knowledge and functional domain expertise in experimentation systems related to marketing, media, customer, digital channels, loyalty, and subscriptions to drive incremental value. Additionally, they will lead a team capable of tackling diverse problems across the business, ensuring high-quality delivery through the creation of internal structures and frameworks that promote accountability and staff development.

Responsibilities

• Drive the vision and execution of LiftIQ, the Marketing Experimentation and Optimization Platform.
• Collaborate 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 run at scale.
• Participate in design, architecture, and code reviews, fostering collaboration and guiding the team through technical challenges.
• Improve ML engineering best practices, producing exemplary code, documentation, automated tests, and thorough monitoring.
• Possess contextual business knowledge and functional domain expertise in experimentation systems related to marketing and customer channels.
• Drive a strategic roadmap with executable outcomes to provide business value and impact.
• Manage stakeholder relationships, prioritizing requests and moving them from curiosity to realized data products and insights.
• Lead and develop a team to tackle diverse business problems, identifying strengths and weaknesses.
• Ensure high delivery quality through the creation of internal structures and frameworks.

Requirements

• Bachelor's degree in computer science, Data Science, Applied Mathematics, or related quantitative field, or equivalent combination of education and recent, relevant work experience.
• 5-8+ years of experience in full stack software development, machine learning, data science, or quantitative insights, and with data structures/algorithms.
• Strong programming skills in Python and Spark for implementing machine learning algorithms, data pipelines, and model development.
• Proficiency in full stack software development using React and custom visualization using D3.
• Expertise in diverse machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and ensemble techniques.
• 2+ years of experience successfully leading technical teams or work.
• Experience building customer platforms and exhibiting 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, engineers, and product owners.
• Ability to evaluate the big picture and solve business problems beyond metrics.
• Strong drive for results and intellectual curiosity; must be a self-starter.
• Ability to train, mentor, and evaluate the technical capabilities of others.
• Experience evaluating and/or hiring high-performing talent.
• Strong project management skills with demonstrated 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
• 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
• Bonus potential based on company and individual performance