Shipt · 11 hours ago
Senior Machine Learning Engineer
Minneapolis, MN
Full-time
Hybrid
Mid, Senior Level
$109K/yr - $247K/yr
3+ years expShipt is a retail tech company that connects people to reliable, high-quality delivery with a personal touch. As a Senior Machine Learning Engineer, you will design, build, and deploy ML systems for fraud detection and risk assessment, collaborating with various teams to enhance the accuracy and efficiency of these systems.
DeliveryE-CommerceGrocerySame Day Delivery
Responsibilities
Design, implement and optimize scalable production ready ML systems for fraud detection, risk scoring, and anomaly detection using structured and unstructured data
Build and productionize end-to-end ML pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring
Contribute to shape the ML roadmap enabling ML models as well as unfold Agentic AI capabilities for fraud detection and prevention
Collaborate with data scientists to productionize statistical and ML models with a focus on low-latency, high-throughput, and real-time fraud detection
Develop automated feedback loops for model retraining and continuous improvement as fraud patterns evolve
Leverage experimentation frameworks (e.g., A/B testing, causal inference) to evaluate the impact and lift of fraud prevention models and systems
Ensure model governance and compliance, including explainability, versioning, and audit readiness
Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning, Gen AI and software engineering
Qualification
Required
Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative discipline
3+ years of experience in developing and deploying machine learning models in large-scale production environments, delivering measurable business impact
Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
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)
Strong understanding of feature engineering, model evaluation, monitoring, and drift management
Excellent problem-solving, communication, and cross-functional collaboration skills
Bachelor's Degree or equivalent experience
Preferred
Experience applying graph ML techniques to detect relational or network-based fraud patterns (e.g., NetworkX, PyTorch Geometric, etc) is highly desirable
Familiarity with GenAI/LLM ops, real-time personalization, or fraud detection is a plus
Benefits
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.
Company
Shipt
Shipt is a grocery delivery service that lets members order groceries and alcohol from their local store for delivery right to their door. It is a sub-organization of Target.
1001-5000 employees
H1B Sponsorship
Shipt has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (40)
2024 (66)
2023 (46)
2022 (83)
2021 (78)
2020 (40)
Funding
Current Stage
Late StageTotal Funding
$65.2MKey Investors
Greycroft
2017-12-13Acquired
2017-06-05Series B· $40M
2016-07-27Series A· $20M
Leadership Team
Smrutha Ipparthi
Chief Technology & Product Officer
Recent News
2025-12-16
2025-11-05
Company data provided by crunchbase