Latitude AI (lat.ai) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on the all-new Ford Fathom in 2027.
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 redefining the relationship between people and their vehicles for millions of customers.
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 State Estimation team is responsible for multi-object tracking and scene estimation, in both a classical physics-informed and modern ML sense. Collaborating with other ML teams, systems engineering, and product management, State Estimation builds advanced models that blend the best of the research literature with the needs of industry to estimate long-duration characteristics (e.g. kinematics, shape, etc) of both actors and road features. State Estimation is the interface of the perception system to various downstream autonomy consumers including motion planning, prediction, and localization. The team takes these algorithms and models from the lab to the road, and directly powers production grade perception systems on our vehicles.
What you’ll do:
- Lead a team of experts to deliver critical functionality for the next generation of autonomy systems at Ford. This functionality includes (but is not limited to) multi-object tracking, estimation of the road properties (such as lane markings, road shape, topology, etc) over time, and pre-collision assist / automatic emergency braking
- Stay current with literature, analyze current system performance, and design state of the art solutions with the team for the above goals. Develop ML models in both a modular and E2E framework
- Collaborate with expert roboticists and ML engineers and scientists to integrate and deploy State Estimation solutions into production. Analyze failures and collaborate with systems engineering to develop verification and validation cases, and take ideas from concept into mass production
- Participate as a senior leader in next-generation autonomy development towards the Ford Large Driving Model
What you'll need to succeed:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 10+ years of relevant experience, Master's degree and 8+ years of relevant experience, or PhD and 5+ years of relevant experience
- Experience developing and shipping learned multi-object tracking systems
- Experience with classical state estimation methods, such as Kalman filters (and varieties thereof), particle filters, etc
- Significant experience with Python and/or C++
- Significant experience in computer vision, perception, and machine learning
- Proven track record of shipping machine learning-based solutions to computer vision problems using PyTorch or similar (TensorFlow, JAX, etc)
Nice to have:
- Ph.D. with focus on machine learning, or equivalent experience
- Track record of shipping end to end computer vision systems
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
- 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 at lat.ai!
The expected base salary range for this full-time position in California is $253,120 - $379,680 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.
#LI-CQ1
#LI-CQ1We 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.
Skills Required
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field, plus 10+ years of relevant experience; alternatively, a master's degree plus 8+ years or a PhD plus 5+ years
- Experience developing and shipping learned multi-object tracking systems
- Experience with classical state-estimation methods, including Kalman filters and particle filters
- Significant experience with Python and/or C++
- Significant experience in computer vision, perception, and machine learning
- Proven track record shipping machine-learning-based computer vision solutions using PyTorch or similar frameworks such as TensorFlow or JAX
- PhD focused on machine learning or equivalent experience
- Track record of shipping end-to-end computer vision systems
Latitude AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Latitude AI and has not been reviewed or approved by Latitude AI.
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Healthcare Strength — Health coverage spans medical, dental, and vision with documented options such as Cigna PPO/HSA and regional Kaiser HMO, indicating a mature, well-structured plan. Public plan notices and carrier listings reinforce depth and clarity of the offering.
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Leave & Time Off Breadth — Time off includes unlimited vacation and 15 company‑wide holidays, with some materials describing periodic year‑end shutdowns. This breadth covers both flexible PTO and fixed holidays.
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Retirement Support — Retirement benefits include a 401(k) with immediate vesting and a 100% match on the first 4% of base pay. This structure provides instant ownership and meaningful employer support.
Latitude AI Insights
What We Do
Latitude AI is a wholly owned subsidiary of Ford Motor Company that develops automated driving technologies. The company was formed in 2023 to reimagine what it’s like to drive, giving drivers time back on their journeys and transforming the driving experience to be safer, less stressful, and more enjoyable for everyone. Headquartered in Pittsburgh with engineering centers in Dearborn, Mich. and Palo Alto, Calif., Latitude employs about 550 people.
