Machine Learning Engineer - Unified Model Development

An automated driving technology company developing hands-free, eyes-off driver assist systems for Ford vehicles
Pittsburgh, PA, USADearborn, MI, USAPalo Alto, CA, USA
$196,160 - $294,240
Machine Learning
Senior Software Engineer
In-Person
7+ years of experience
AI · Automotive

Description For Machine Learning Engineer - Unified Model Development

Latitude AI, a Ford Motor Company subsidiary, is revolutionizing the automotive industry with their advanced automated driving technology. As a Machine Learning Engineer on the Unified Model development team, you'll be at the forefront of developing cutting-edge computer vision and machine learning solutions for autonomous vehicles.

The role involves creating compute-efficient, multi-view, multi-sensor deep learning models for tasks including 3D object detection, lane line detection, and scene segmentation. You'll work alongside leading experts in machine learning, robotics, and cloud platforms, contributing to technology that will improve driving safety and experience for millions.

The position offers an exciting blend of research and practical implementation, where you'll not only design state-of-the-art solutions but also ensure they perform effectively in real-world conditions. You'll be part of a team that stays current with the latest research while focusing on delivering production-grade vision systems for vehicles.

Working at Latitude AI combines the innovative spirit of a tech startup with the resources and stability of Ford Motor Company. The company offers an impressive benefits package, including competitive compensation, comprehensive healthcare, unlimited vacation, and professional development opportunities. With locations in Pittsburgh, Dearborn, and Palo Alto, you'll be joining a company that values both technical excellence and work-life balance.

This is an exceptional opportunity for an experienced machine learning professional who wants to make a tangible impact on the future of transportation. You'll be working on technology that will directly improve people's lives by making driving safer, less stressful, and more enjoyable. The role offers both technical challenges and the satisfaction of seeing your work deployed in next-generation Ford vehicles at scale.

Last updated 15 days ago

Responsibilities For Machine Learning Engineer - Unified Model Development

  • Develop spatio-temporal machine learning models for detection, multi-sensor fusion, segmentation
  • Read literature, analyze raw data, and design state-of-the-art solutions
  • Transition solutions from lab to test track and public roads
  • Collaborate with perception experts on algorithm design and deployment
  • Build and maintain industry-leading software practices
  • Develop clean and efficient software for perception modules

Requirements For Machine Learning Engineer - Unified Model Development

Python
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or related field and 7+ years experience (or Master's with 5+ years, or PhD with 2+ years)
  • Expert-level knowledge in machine learning, with proven track record in deep learning solutions
  • Experience in developing perception systems using Camera, Radar, and LiDAR
  • Strong experience in computer vision, perception, and point cloud processing
  • Proven experience in shipping computer vision software products
  • At least 5 years of development experience in Python/C++ environments

Benefits For Machine Learning Engineer - Unified Model Development

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Commuter Benefits
Education Budget
Visa Sponsorship
  • Competitive compensation packages
  • Medical, dental, and vision insurance
  • Health savings account with employer match
  • 401(k) retirement plan with immediate vesting
  • Employer-paid group term life insurance
  • Paid parental leave
  • Paid medical leave
  • Unlimited vacation
  • 15 paid holidays
  • Complimentary daily lunches and snacks
  • Pre-tax spending accounts
  • Pre-tax commuter benefits
  • Monthly wellness stipend
  • Adoption/Surrogacy support program
  • Backup child and elder care program
  • Professional development reimbursement
  • Employee assistance program

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