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About the Role

Drive key AI initiatives by designing and deploying intelligent, personalized recommendation models to enhance user engagement. Collaborate with Data Scientists to architect data pipelines and build scalable ML infrastructure and production systems. Lead the team in developing robust APIs and services for real-time or batch recommendations.

Responsibilities

• Design and deploy intelligent, personalized recommendation models.
• Collaborate with Data Scientists to design and deploy intelligent, personalized recommendation models.
• Contribute to architecture, design, and implementation of AI-driven solutions.
• Design, build, and maintain scalable ML infrastructure and production systems.
• Architect data pipelines for serving and training ML models.
• Lead the team to build scalable, low-latency, and fault-tolerant systems for real-time recommendations.
• Develop robust APIs and services to deliver real-time or batch recommendations.

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
• Deep understanding of user modeling, embeddings, similarity search and ranking models
• 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.

Skills

• Back-End Development
• Machine Learning (ML)
• Python (Programming Language)
• Structured Programming
• Go
• Java
• User modeling
• Embeddings
• Similarity search
• Ranking models
• Serving architectures
• REST/gRPC APIs
• Model servers
• ML pipeline tools
• Distributed systems
• Microservices
• System design
• SQL
• NoSQL databases
• Experimentation platforms
• Online A/B testing

Location

• Birmingham, AL
• Minneapolis, MN
• San Francisco, CA

Work Type

• Hybrid

Experience Level

• 5+ years of experience in machine learning and backend software engineering

Education Level

• PhD/MS in Computer Science, Engineering, Mathematics or equivalent work experience
• Bachelor's Degree or equivalent experience

Salary/Compensations

• $137,400- $239,000

Benefits

• Medical, dental, vision
• 401k plan
• Discretionary vacation for exempt team members
• Paid holidays
• Paid sick leave
• Annual bonus
• Potential for restricted stock units

About the Company

• Shipt is a retail tech company that connects people to reliable, high-quality delivery with a personal touch.
• Shipt connects customers to the things they want from the stores they love, retail businesses to more satisfied customers, and workers to new earning opportunities.
• At Shipt, we aim to put our team first to boost a sense of belonging, spark opportunities for growth, provide unique benefits and commit to giving back to our communities in ways that make life better, both personally and professionally.
• Shipt is an independently operated, wholly owned subsidiary of Target Corporation and available in more than 5,000 U.S. cities.
• Shipt was founded and is headquartered in Birmingham, Alabama.

Equal Opportunity

• We are an equal opportunity employer and value diversity at our company.
• We do not discriminate on the basis of race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or any other characteristic protected by law.
• Please inform your recruiting contact upon initial connection if you need a reasonable accommodation.
• If you need assistance filling out a job application, please complete this form.
• Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.