Senior Software Engineer, Machine Learning (Offboard Models)

Pittsburgh, PA, Palo Alto, CA, Detroit, MI

Latitude AI

Latitude AI is an automated driving technology company on the mission to transform travel to be safer, less stressful, and more enjoyable for everyone.

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Latitude AI (lat.ai) is an automated driving technology company developing a hands-free, eyes-off driver assist system for next-generation Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.  

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people. 

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

The Offboard Models team is a group of highly skilled and experienced professionals who specialize in cutting-edge computer vision and machine learning technology. Together, we collaborate to create auto-labeling and data augmentation solutions for autonomy consumers including perception and mapping.

On the auto-labeling front, the primary focus is on developing multi-view, multi-sensor deep learning models capable of leveraging the maximal sensing suite on our development and consumer vehicles to perform a wide range of tasks such as 3D object detection, lane line detection and scene segmentation.

On the data augmentation front, the focus is on developing ML solutions for multi-view, multi-sensor dynamic scene manipulation including ego, actor and sensor edits. To achieve this goal, the team constantly stays up-to-date with the latest research literature and pushes the boundaries of what is possible. We are dedicated to developing cutting-edge ML algorithms and models that can help improve the diversity of our datasets in a cost efficient manner.

What you’ll do: 

  • Develop multi-view, multi-sensor dynamic scene manipulation models for increasing data diversity
  • Read literature, analyze raw data, and design state-of-the-art solutions
  • Collaborate with perception experts and experienced roboticists on algorithm design, prototyping, testing, cloud deployment, and productization
  • Develop clean and efficient software for scene manipulation modules interfacing with consumer modules such as perception and resimulation 
  • Build and maintain industry-leading software practices and principles
  • Show initiative and be a valued team member in a fast-paced, innovative, and entrepreneurial environment

What you'll need to succeed:

  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
  • Expert-level knowledge and experience in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch, Tensorflow, or similar frameworks
  • Experience in developing perception systems using sensors such as Camera, Radar, and LiDAR
  • Experience in developing Neural Radiance Field (NeRF) and/or Gaussian Splatting based 3D scene reconstruction and manipulation systems
  • At least 4 years of development experience in Python/C++ environments

Nice to have: 

  • Experience developing diffusion models and/or vision language models (VLM)

What we offer you:

  • Competitive compensation packages
  • High-quality individual and family medical, dental, and vision insurance
  • Health savings account with available employer match
  • Employer-matched 401(k) retirement plan with immediate vesting
  • Employer-paid group term life insurance and the option to elect voluntary life insurance
  • Paid parental leave
  • Paid medical leave
  • Unlimited vacation
  • 15 paid holidays
  • Complimentary daily lunches, beverages, and snacks for onsite employees
  • Pre-tax spending accounts for healthcare and dependent care expenses
  • Pre-tax commuter benefits
  • Monthly wellness stipend
  • Adoption/Surrogacy support program
  • Backup child and elder care program
  • Professional development reimbursement
  • Employee assistance program
  • Discounted programs that include legal services, identity theft protection, pet insurance, and more
  • Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected base salary range for this full-time position in California is $174,000 - $261,000 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

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Tags: Computer Science Computer Vision Deep Learning Diffusion models Engineering Lidar Machine Learning NeRFs PhD Prototyping Python PyTorch Radar Research Robotics TensorFlow Testing

Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Flex vacation Health care Insurance Lunch / meals Medical leave Parental leave Salary bonus Snacks / Drinks Startup environment Team events Unlimited paid time off Wellness

Region: North America
Country: United States

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