Senior Software Engineer (Machine Learning)

TL;DR

Senior Software Engineer (Machine Learning): Developing spatio-temporal machine learning models for multi-object tracking and road feature estimation with an accent on production-grade perception systems for automated driving. Focus on transitioning state-of-the-art algorithms from the lab to public roads while ensuring onboard performance and system reliability.

Location: Must be legally authorized to work in the United States on a permanent basis. Role is available as remote, hybrid, or onsite in Dearborn, MI, Palo Alto, CA, or Pittsburgh, PA.

Company

A Ford Motor Company subsidiary developing hands-free, eyes-off automated driving technology at the speed of a startup.

What you will do

• Develop spatio-temporal ML models for multi-object tracking, uncertainty estimation, and road topology.
• Analyze raw data and design state-of-the-art perception solutions.
• Transition algorithms from lab prototypes to production-level implementation on vehicles.
• Collaborate with perception experts and roboticists on design, testing, and deployment.
• Build and maintain industry-leading software practices and clean, efficient perception modules.

Requirements

• Must be legally authorized to work in the United States on a permanent basis.
• Bachelor's degree in CS, Engineering, or Robotics with 4+ years of experience (or Master's with 2+ years).
• Proven track record of developing and deploying deep learning solutions using PyTorch.
• Strong experience in computer vision, perception, and multi-object tracking systems.
• At least 4 years of professional development experience in Python/C++ environments.
• Experience shipping perception software products to industry or consumers.

Nice to have

• Ph.D. with a focus on machine learning.
• Experience deploying ML models under compute constraints.

Culture & Benefits

• Competitive compensation with 401(k) employer match and immediate vesting.
• Comprehensive medical, dental, and vision insurance for individuals and families.
• Unlimited vacation policy plus 15 paid holidays.
• Paid parental leave and medical leave.
• Professional development reimbursement and wellness stipends.
• Onsite perks including daily lunches and snacks.