Impact
As a Senior Machine Learning Engineer on our Fraud Detection & Risk Assessment Data Science team, you will design, build, and deploy cutting-edge ML systems that protect millions of users and multiple product lines from evolving fraud and risk threats. You’ll work with complex, high-volume data streams to develop and deploy services that detect and prevent Fraud and enable real-time decisioning across our ecosystem.
Collaborating closely with Product, Fraud Operations, Engineering and Data Science teams, you will translate business risk signals into robust machine learning pipelines—improving the accuracy, efficiency, and impact of our fraud detection systems. This role requires strong ownership across the ML lifecycle, from ideation to development to production systems, and a forward-looking mindset on applying Generative AI and agentic systems in fraud prevention.
What You’ll Need to Be Successful
PhD or Masters in Computer Science, Statistics, or a related field
5+ years of experience applying ML in production with measurable business impact.
Expertise in machine learning algorithms and frameworks, with hands-on experience in training, tuning, deploying and monitoring models in production environments.
Experience designing systems in adversarial or rapidly evolving environments (fraud, risk, etc.)
Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Experience with data pipeline tools and frameworks (e.g., Airflow, Spark, Kafka, or similar).
6+ months of hands-on experience building LLM/GenAI applications (RAG, agents, or decision-support systems).
Excellent problem-solving, communication, and cross-functional collaboration skills.
Pay Range: $114,000-189,000
Please note that the salary range above is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.
Skills & Education
This list includes key skills used in this job but is not inclusive of all skills needed for the role. Please see any required education below.
Data Science, Machine Learning (ML), Machine Learning Model Development, Python (Programming Language)Bachelor's Degree or equivalent experience | Required
Work Arrangement
Shipt considers candidates located near a Shipt office or workspace in Birmingham, San Francisco, or Minneapolis to be hybrid, which means that they have the flexibility to work from home (with leader approval) or at a Shipt office in order to facilitate the ability to innovate, collaborate, and spark team connections. In-office expectations will vary by role and leader. Certain roles may require in-office presence on a full-time basis. Please work with your recruiter to learn more about the classification of this role.
About Shipt
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. We understand that our service, our culture, and our connection to our communities are only made better by every single person who shows up to work here every day.Learn More.
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. For more information, please visit Shipt’s company site at Shipt.com.
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.
Employees (and eligible family members) are covered by medical, dental, vision and more. 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.
