ML Tech Lead — Simulation & Performance Analytics

May Mobility; Ann Arbor (MI); On-site; USD 200,591 - 295,000; Full time

Benefits offered by this job

Comprehensive healthcare suite

Generous paid parental leave

Flexible vacation policy

Rich retirement benefits

Job summary

A forward-thinking technology company in Ann Arbor, Michigan, is seeking a Data Scientist or Machine Learning Engineer. The role requires analyzing simulation data, building prediction models, and mentoring junior engineers. Ideal candidates will have 10+ years of experience, a strong background in Python, SQL, and a relevant degree. Generous salary range and comprehensive benefits are offered, including flexible vacation and health care plans.

Qualifications

• 10+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithmic design and deep learning.
• Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark).
• Hands-on expertise in architecting and training complex predictive machine learning models.

Responsibilities

• Evaluate simulation test results to drive release and safety decisions.
• Work independently with cross functional teams to develop software and system requirements.
• Lead team code quality activities including design and code reviews.

Skills

Expertise in analyzing high-dimensional simulation data

Experience building ML prediction models

Detail-oriented with a focus on validation and testing

Awareness of the latest advancements in the field

Excellent problem-solving skills

Ability to provide mentorship and technical leadership

Education

B.S., M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math

Tools

Python

SQL

Pandas

NumPy

Spark

Job description

A forward-thinking technology company in Ann Arbor, Michigan, is seeking a Data Scientist or Machine Learning Engineer. The role requires analyzing simulation data, building prediction models, and mentoring junior engineers. Ideal candidates will have 10+ years of experience, a strong background in Python, SQL, and a relevant degree. Generous salary range and comprehensive benefits are offered, including flexible vacation and health care plans.