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About the Role

As a Staff Machine Learning Engineer on Shipt's Personalization Platform team, you will drive key AI initiatives. This role involves collaborating with Data Scientists to design and deploy intelligent, personalized recommendation models to enhance user engagement. You will be a hands-on senior technical contributor, focusing on architecture, design, and implementation of high-quality AI-driven solutions in a dynamic marketplace. Responsibilities include designing, building, and maintaining scalable ML infrastructure and production systems, and closely collaborating with Data Scientists on data pipeline architecture for ML model serving and training. You will also lead the team in building scalable, low-latency, fault-tolerant systems for real-time recommendations and developing robust APIs and services for real-time or batch recommendations using Python and Go. This cross-functional role is ideal for individuals skilled in Machine Learning, AI Engineering, and business impact.

Responsibilities

Drive key AI initiatives
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
Collaborate with Data Scientists to 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 using Python and Go

Requirements

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
Structured Programming
Go
Java
User modeling
Embeddings
Similarity search
Ranking models
REST APIs
gRPC APIs
Model servers
MLflow
Kubeflow
Airflow
Distributed systems
Microservices
System design
SQL
NoSQL databases
Large-scale datasets
Experimentation platforms
Online A/B testing

Location

Birmingham
San Francisco
Minneapolis
Remote
At a Shipt office

Work Type

Hybrid
Remote
Onsite

Experience Level

5+ years of experience in machine learning and backend software engineering
Senior technical contributor

Education Level

Bachelor's Degree or equivalent experience

Salary/Compensations

Annual bonus eligibility
Potential for restricted stock units

Benefits

Medical coverage
Dental coverage
Vision coverage
401k plan
Discretionary vacation for exempt team members
Paid holidays
Paid sick leave
Annual bonus
Restricted stock units

About the Company

Retail tech company connecting people to reliable, high-quality delivery with a personal touch.
Connects customers to desired items from favorite stores.
Connects retail businesses to satisfied customers.
Connects workers to new earning opportunities.
Prioritizes team members to foster belonging, growth, unique benefits, and community giving.
Independently operated, wholly owned subsidiary of Target Corporation.
Available in over 5,000 U.S. cities.
Founded and headquartered in Birmingham, Alabama.
Reaches more than 60 million households across the U.S.

Equal Opportunity

Equal opportunity employer valuing diversity.
Does not discriminate based on 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.
Provides reasonable accommodation upon request.
Considers qualified applicants with arrest and conviction records pursuant to the San Francisco Fair Chance Ordinance.