Senior Software Engineer - Machine Learning - Multi-Object Tracking
Listed on 2026-06-13
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Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Software Engineer
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.
Meet The TeamThe State Estimation team specializes in cutting‑edge multi‑object tracking, scene estimation, and machine learning technology, collaborating to create advanced models that can temporally track both static and dynamic actors as well as estimate road features. The team is the interface of the perception system to various downstream autonomy consumers including motion planning, prediction, and localization, with a focus on developing compute‑efficient models that can be optimized for onboard performance and used as production‑grade perception systems on vehicles.
WhatYou’ll Do
- Develop spatio‑temporal machine‑learning models for multi‑object tracking and uncertainty estimation.
- Develop machine‑learning models to estimate road features, lane markings, road shape and road topology.
- 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.
- 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).
- Experience in developing multi‑object tracking systems using machine learning models.
- Relevant knowledge and experience in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch or similar frameworks.
- Strong experience in computer vision, perception, and deep learning.
- Proven experience in shipping perception software products to industry or consumers.
- At least 4 years of development experience in Python/C++ environment.
- Ph.D. with a machine learning focus, or equivalent experience.
- Experience developing and deploying machine‑learning models with compute constraints.
- Competitive compensation packages.
- High‑quality individual and family medical, dental, and vision insurance.
- Health savings account with 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 and adoption/surrogacy support program.
- Paid medical leave.
- Unlimited vacation and 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.
- 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.
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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