Senior Machine Learning Engineer

Description
The Role
The Senior ML Engineer will be responsible for building and scaling LiftIQ (Marketing Experimentation and Optimization Platform). This individual has expertise in building scalable Machine Learning data products for experimentation and optimization including experiment design, Statistical and ML models for causal inference, measurement, optimization and personalization leveraging 1P/3P data sources. This person will collaborate with cross functional teams, including engineering, data science and UX/UI Design, to build and refine the platform that enable experimentation, measurement and optimization.
This person will work closely with stakeholders in GM's vehicle brands, subscriptions, and customer care product, as well as the Performance Driven Marketing team to ensure business acceptance of models, metrics, visualization of experiment performance and optimization. They will be responsible for developing platforms, tools, and democratized capabilities that allow stakeholders and data scientists to identify marketing initiatives with high return on investment. Our team is focused on delivering future-focused, consumer-centric, personalized solutions that allow GM to stay proactive and nimble in our exciting transition to EVs.
What You'll Do

• Work closely with the Data Scientists, Engineers and Product Owners to build a system that will help our marketing stakeholders optimize ROI.
• Design and engineer efficient and resilient ML platforms and software products that run at scale.
• Participate in design, architecture and code reviews, foster collaboration, and guide the team through roadmap deliverables and other technical challenges. Above all, you will work as a technical leader to provide our customers with great products while helping to grow a strong engineering team.
• Raise the bar of ML engineering by improving best practices, producing exemplary code, documentation, automated tests and thorough and precise monitoring.
• Possess contextual business knowledge and functional domain expertise in experimentation systems related to marketing, media, customer, digital channels, as well loyalty and subscription space, to drive incremental value.

• Have strong stakeholder management skills, able to prioritize asks, and move requests from the point of curiosity and into realized data products, insights, and solutions.

Additional Description
Your Skills & Abilities (Required Qualifications)

• 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+ 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, Spark are necessary for implementing machine learning algorithms, data pipelines, and model development.
• Expertise in Machine Learning Algorithms and Techniques: Comprehensive understanding of diverse machine learning algorithms, spanning supervised and unsupervised learning, deep learning, reinforcement learning, and ensemble techniques.
• 2+ years of experience successfully leading technical teams or work.
• Previous experience and examples building customer platforms and exhibiting platform and data governance.
• Understanding of the principles of causality and/or modeling of incrementality.
• Understanding of the basic principles of experimental design and analysis.
• Familiarity with models of customer lifetime value, retention, and churn.
• Prior experience managing and influencing stakeholders, analysts, architects, engineers, and other product owners building a similar capability.
• Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics.
• Strong drive for results and intellectual curiosity; must be a self-starter.
• Ability to train, mentor, and evaluate the technical capabilities of others.
• Prior experience evaluating and/or hiring high-performing talent.
• Strong project management skills with demonstrated success.
• Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality.
• Excellent team player with strong interpersonal skills and highly collaborative work style.
• Excellent oral, listening, presentation, and written communication skills.

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.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
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.
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Diversity Information
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 workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. 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
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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