Target
Lead ML Engineer - Advance AI (applied ML, LLM's, ML Ops)
$132K–$286K
7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445 +1 · Remote or Hybrid · Full-time · Posted Oct 12, 2026
- Location
- 7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445
100 Mathilda Place,Ste 100 Sunnyvale,CA 94086-6017 - Experience
- 5+ years of hands-on software engineering experience, including experience building and operating production systems.
- Education
- 4-year degree in Quantitative disciplines (Science, Tech, Engineering, Mathematics) or equivalent industry experience; MS in a related technical field preferred.
- Visa sponsorship
- Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.
About the job
Leads the design, development, deployment, and operation of production-grade AI/ML applications that deliver business value across Target workflows.
What you'll do
- Provide hands-on technical leadership, contribute to architecture decisions, and build maintainable production-quality code.
- Partner with technical and business teams to turn ambiguous problems into scalable solutions and address implementation risks.
- Establish engineering practices for testing, deployment, observability, documentation, security, and production support.
What they ask for
- 4-year degree in Quantitative disciplines (Science, Tech, Engineering, Mathematics) or equivalent industry experience.
- 5+ years of hands-on software engineering experience, including building and operating production systems.
- Strong experience developing AI/ML applications and strong proficiency with Python and modern AI/ML or deep learning frameworks.
- Experience building scalable, maintainable, well-tested production services, APIs, data pipelines, applications, or platforms.
Nice to have
- MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field.
Pay
$132,000.00 - $286,000.00 (base salary)
Tools
Python, PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel
AI focus
Build and operate AI/ML applications, including LLM-powered applications, agentic systems, applied machine learning, and intelligent automation; evaluate models and frameworks and support production deployment and operations.
Model-written summary · the original posting is authoritative