Target is hiring a Lead Machine Learning Engineer to design, implement, and optimize production machine learning solutions that power personalized recommendations for millions of guests on Target.com and the Target mobile app. You'll join a global in-house Tech and Data Sciences team of more than 5,000 software engineers, applied data scientists, ML engineers and product managers, and be part of a Data Sciences team specifically focused on personalized recommendations.
What You'll Do
- Design, implement, and optimize production machine learning solutions.
- Create personalized recommendations on Target.com and the Target mobile app.
- Understand best practice software design and participate in code reviews.
- Create a maintainable, well-tested codebase with relevant documentation.
- Conduct training sessions and present work to technical and non-technical peers and leaders.
- Build knowledge on business priorities and strategic goals to inform requirements and solutions.
- Work in partnership with data scientists, software engineers, and product managers to translate business requirements into machine learning solutions at scale.
- Mentor junior team members in ML skillset and career development.
What We're Looking For
- A 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience.
- 5+ years of experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment, and API design.
- High proficiency programming in Python.
- Experience with ML frameworks such as PyTorch, TensorFlow, xgboost, sklearn, and ONNX.
- Extensive experience with one or more cloud ML services such as Vertex AI, Azure ML, or SageMaker.
- Experience using distributed training frameworks like Spark, Ray, or TensorFlow Distributed.
- Experience with serving frameworks such as TorchServe, TensorFlow Serving, or FastAPI.
- A good understanding of Big Data technologies, specifically Hadoop, Kafka, and Spark.
- Experience creating and maintaining CI/CD pipelines for automated model deployment and testing.
- Excellent communication skills with the ability to clearly tell data-driven stories.
- A self-driven, results-oriented approach with the ability to meet tight timelines.
- Motivation and the ability to collaborate effectively as a team player across a global team.
Nice to Have
- An MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience.
- A PhD in Computer Science, Applied Mathematics, Statistics, Physics or a related quantitative field.
- Proficiency in Java.
Technical Stack
- Languages: Python
- ML Frameworks: PyTorch, TensorFlow, xgboost, sklearn, ONNX
- Cloud ML: Vertex AI, Azure ML, SageMaker
- Distributed Training: Spark, Ray, TensorFlow Distributed
- Serving Frameworks: TorchServe, TensorFlow Serving, FastAPI
- Big Data: Hadoop, Kafka, Spark
Team & Environment
You will join a global in-house Tech and Data Sciences team of more than 5,000 software engineers, applied data scientists, ML engineers, and product managers. You'll be part of a Data Sciences team specifically responsible for personalized recommendations, working in a culture focused on experimentation, continuous learning, agile practices, and leveraging open-source software.
Benefits & Compensation
- Compensation range: $132,000.00 - $238,000.00
- Comprehensive health benefits (medical, vision, dental, life insurance)
- 401(k)
- Employee discount
- Short term disability
- Long term disability
- Paid sick leave
- Paid national holidays
- Paid vacation
Work Mode
This is a hybrid role.
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities.
