Tech Lead, Performance Evaluation at Maymobility · LumiJobs
senior
$201k–$295k
H1B: no
Maymobility Tech Lead, Performance Evaluation at May Mobility to evaluate simulation test results and lead code quality activities. Provide technical guidance and communicate analytical findings.
Responsibilities
Evaluate simulation test results to drive release & safety decisions.
Work independently with cross functional teams to develop software and system requirements.
Lead team code quality activities including design and code reviews.
Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations.
Provide technical guidance to team members.
Success in this role typically requires the following competencies:
Expertise in analyzing high-dimensional simulation data.
Experience building ML prediction models.
Detail-oriented with a focus on validation, testing, and error detection.
Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May.
Excellent problem-solving skills with a meticulous approach to model architecture and optimization.
Ability to provide individual and team mentorship, including technical leadership for complex projects.
Qualification
Strong proficiency in PythonBackground in Autonomous vehicles
Required
B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field.
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).
Demonstrated expertise in databases for data extraction, transformation, and analysis.
Proven experience building and managing large datasets and evaluations.
Hands-on expertise in architecting and training complex predictive machine learning models.
Prior experience in mentoring and supporting junior engineers.
Background in Autonomous vehicles, robotics, physics or related fields.