Staff Machine Learning Engineer

Staff Machine Learning Engineer

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Staff Machine Learning Engineer

Remote - United States

Full time

Posted 25 Days Ago

Job Requisition ID : JR-202420327

Job Description

The Role

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.

This person 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.

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.
• 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 as loyalty and subscription space, to drive incremental value.
• Drive a strategic roadmap with executable outcomes to provide business value and impact.
• Have strong stakeholder management skills, able to prioritize asks, and move requests from the point of curiosity into realized data products, insights, and solutions.
• Possess knowledge of how to map data skills, techniques, and tools to problems.
• Lead and develop a team that can tackle diverse problems across the business, identifying strengths and weaknesses and allocating accordingly.
• Ensure an elevated level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff.

Additional Job 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.
• 5-8+ 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, Spark are necessary for implementing machine learning algorithms, data pipelines, and model development.
• Proficiency in full stack software development using React, custom visualization using D3.
• 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 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.

A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws.

The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The salary range for this role is $157,800 and $241,800. The actual base salary a successful candidate will be offered within this 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.

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.

Why Join Us

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day individually and collectively to drive meaningful change through our words, our deeds, and our culture.

Equal Employment Opportunity Statements

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

GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals.

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