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Staff Machine Learning Engineer

2 months ago

Juneau, United States General Motors Full time
General Motors Staff Machine Learning Engineer Juneau, Alaska Apply Now

The Staff ML Engineer will be responsible for driving the vision and execution of LiftIQ (Marketing Experimentation and Optimization Platform). This individual will be a technical leader with expertise in building scalable Machine Learning data products for experimentation and optimization including experiment design, Statistical and ML models for measurement, optimization and personalization leveraging 1P/3P data sources. They will collaborate with cross-functional teams, including engineering, data science, and UX/UI Design, to build and refine the platform that enables 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

  1. Work closely with the Data Scientists, Engineers, and Product Owners to build a system that will help our marketing stakeholders optimize ROI.
  2. Design and engineer efficient and resilient ML platforms and software products that run at scale.
  3. Participate in design, architecture, and code reviews, foster collaboration, and guide the team through roadmap deliverables and other technical challenges.
  4. Raise the bar of ML engineering by improving best practices, producing exemplary code, documentation, automated tests, and thorough and precise monitoring.
  5. Possess contextual business knowledge and functional domain expertise in experimentation systems related to marketing, media, customer, and digital channels.
  6. Drive a strategic roadmap with executable outcomes to provide business value and impact.
  7. Have strong stakeholder management skills, able to prioritize asks, and move requests from curiosity into realized data products, insights, and solutions.
  8. Possess knowledge of how to map data skills, techniques, and tools to problems.
  9. Lead and develop a team that can tackle diverse problems across the business.
  10. Ensure an elevated level of delivery quality through the creation of internal structures and extensible frameworks.

Your Skills & Abilities (Required Qualifications)

  1. Bachelor’s degree in computer science, Data Science, Applied Mathematics, or related quantitative field, or equivalent combination of education and recent, relevant work experience.
  2. 5-8+ years of experience in full stack software development, machine learning, data science, or quantitative insights.
  3. Strong programming skills in Python, Spark for implementing machine learning algorithms, data pipelines, and model development.
  4. Proficiency in full stack software development using React and custom visualization using D3.
  5. Expertise in Machine Learning Algorithms and Techniques.
  6. 2+ years of experience successfully leading technical teams.
  7. Understanding of the principles of causality and/or modeling of incrementality.
  8. Understanding of basic principles of experimental design and analysis.
  9. Strong project management skills with demonstrated success.
  10. Excellent team player with strong interpersonal skills.
  11. 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.

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.

Equal Employment Opportunity Statements

GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

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