Senior Machine Learning Engineer

Shipt’s Foundations team is hiring a Senior Machine Learning Engineer to build and deliver advanced machine learning models and to drive rigorous experimentation across pricing-related challenges. This role blends modeling and experimentation expertise, with responsibility for validating how algorithmic changes affect key business metrics.

You will operate as a subject matter expert in a machine learning and experimentation domain, partnering closely with product, business, and engineering stakeholders to turn hypotheses into measurable outcomes.

Responsibilities

• Implement cutting-edge machine learning models
• Design and analyze advanced experiments in collaboration with product, business, and engineering teams to address key challenges across multiple pricing domains at Shipt
• Serve as the machine learning and experimentation subject matter expert in a defined domain
• Build advanced ML solutions and validate the impact of algorithmic changes on key business metrics
• Present recommendations to key stakeholders

Requirements

• 4+ years of experience applying machine learning and statistics in an industry setting, with a track record of delivering impactful results
• PhD or Masters in Computer Science, Statistics, or a related field
• Experience building and deploying machine learning models
• Experience with experiment design, rollout, analysis, and reporting
• 4+ years of Python development
• Experience presenting to stakeholders
• Experience leading key technical projects and substantially influencing the scope and output of others
• Bachelor’s Degree or equivalent experience

Technologies

• Python
• Artificial Intelligence (AI)
• Machine Learning (ML)

Benefits

• Medical, dental, vision and more
• 401k plan eligibility
• Discretionary vacation for exempt team members
• Paid holidays throughout the calendar year
• Paid sick leave
• Eligibility for an annual bonus
• Potential for restricted stock units based on role

Work Arrangement

• Remote roles are listed as Remote.
• Hybrid roles in Birmingham, AL typically work in-office at least 2 days per week, with core in-office days on Wednesdays and Thursdays.
• Hybrid roles in Minneapolis, MN typically work in-office at least 1 day per week on either Tuesday, Wednesday, or Thursday.
• Hybrid roles in San Francisco, CA typically work in-office at least 1 day per week between Monday and Thursday.
• Certain roles may require in-office presence on a full-time basis.