Software Engineer, Unified Modeling; CV/ML
Listed on 2026-02-12
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Software Development
AI Engineer, Machine Learning/ ML Engineer, Software Engineer
Senior Software Engineer, Unified Modeling (CV/ML)
Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles ’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.
Meet The TeamThe Unified Model development team specializes in cutting-edge computer vision and machine learning technology to create advanced detection models for static and dynamic actors. The primary focus is on developing compute‑efficient, multi‑sensor deep learning models for tasks such as 3D object detection, lane line detection, state estimation, and scene segmentation. The team stays up‑to‑date with the latest research and pushes the boundaries of possibility, ensuring algorithms are optimized for onboard performance and production‑grade vision systems on vehicles.
WhatYou’ll Do
- Develop spatio‑temporal machine learning models for detection, multi‑sensor fusion, segmentation, etc.
- Read literature, analyze raw data, and design state‑of‑the‑art solutions
- Transition solutions from the lab to the test track and public roads to ensure successful production‑level implementation
- Collaborate with perception experts and experienced roboticists on algorithm design, prototyping, testing, deployment, and productization
- Build and maintain industry‑leading software practices and principles
- Develop clean and efficient software for perception modules interfacing with other key modules
- Show initiative and be a valued team member in a fast‑paced, innovative, and entrepreneurial environment
- A Bachelor's or Master's Degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field
- 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
- Strong experience in computer vision, perception, and point cloud processing
- Proven experience in shipping computer vision software products to industry or consumers
- At least 5 years of development experience in Python/C++ environments
- Ph.D. with machine learning focus, or equivalent experience
- Experience developing and deploying temporal computer vision models (e.g., video activity recognition or using multiple frames for improved results on other tasks)
- 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
- 13 paid holidays
- Daily lunches, snacks, and beverages available in all office locations
- 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 ! The expected base salary range for this full‑time position in California is $179,200 - $268,800 USD. 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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