Staff Machine Learning Engineer
Shipt · Minneapolis, MN · 3 wk ago
Information Technology$137k–$239k/yrFull-time
About the role
Drive key AI initiatives as a Staff Machine Learning Engineer on Shipt's Personalization Platform team. Collaborate with Data Scientists to design and deploy intelligent, personalized recommendation models to drive user engagement across Shipt. Contribute to architecture, design, and implementation of high quality AI driven solutions in a rapidly evolving marketplace environment.
Responsibilities
- Contribute to the development of scalable ML infrastructure and production systems
- Closely collaborate with Data Scientists to architect data pipelines for serving and training ML models for Shipt's Personalization Platform
- Lead the team to build scalable, low-latency, and fault-tolerant systems to serve real-time recommendations at scale
- Develop robust APIs and services to deliver real-time or batch recommendations using Python, Go
Requirements
- PhD/MS in Computer Science, Engineering, Mathematics or equivalent work experience
- 5+ years of experience in machine learning and backend software engineering
- Proficiency in at least one backend programming language (e.g., Go, Java) and Python
- Strong experience with serving architectures (e.g., REST/gRPC APIs, model servers)
- Experience with ML pipeline tools (e.g., MLflow, Kubeflow, Airflow)
- Strong grasp of distributed systems, microservices, and system design
- Experience with SQL and NoSQL databases and working with large-scale datasets
- Exposure to experimentation platforms and online A/B testing
Qualifications
- Bachelor's Degree or equivalent experience
Skills
- Back-End Development
- Machine Learning (ML)
- Python (Programming Language)
- Structured Programming
Benefits
Employees may enroll in our company’s 401k plan. Employees will also be eligible to receive discretionary vacation for exempt team members, paid holidays throughout the calendar year and paid sick leave. Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role.
Pay
Pay Range: $137,400- $239,000