Senior Software Engineer - Machine Learning - Multi-Object Tracking

Latitude AI; Dearborn (PA, MI); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation packages

Health insurance

Employer‑matched 401(k) retirement

Paid parental leave

Unlimited vacation and holidays

Onsite daily lunches

Job summary

Latitude AI is building an automated driving perception team in the United States. The State Estimation group focuses on tracking objects, estimating road features, and deploying production‑grade perception software for next‑gen Ford vehicles.

The role emphasizes research, prototyping, and real‑world testing with strong ML and CV foundations. You will collaborate across perception, robotics, and software, delivering scalable models capable of running onboard with real‑time constraints.

Qualifications

• Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field with 4+ years of relevant experience (or Master’s degree with 2+ years).
• Experience developing multi‑object tracking systems using machine learning models.
• Proven track record deploying deep learning solutions using PyTorch or similar frameworks.
• Strong experience in computer vision, perception, and deep learning.
• At least 4 years of development in Python/C++.

Responsibilities

• Develop spatio‑temporal machine learning models for multi‑object tracking and uncertainty estimation.
• Develop ML models to estimate road features, lane markings, road shape and topology.
• Read literature, analyze data, and design state‑of‑the‑art solutions.
• Transfer solutions from lab to test track and public roads for production readiness.
• Collaborate with perception experts on algorithm design, prototyping, testing and deployment.
• Build and maintain industry‑leading software practices for perception modules.

Skills

Multi-object tracking

Machine learning

Python/C++ development

Computer vision / perception

Production software for perception

Education

Bachelor’s degree or Master’s in Computer Engineering, CS, Electrical Engineering, Robotics

Tools

PyTorch

Python

C++

Job description

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 State Estimation team is a group of highly skilled and experienced professionals who specialize in cutting‑edge multi-object tracking, scene estimation, and machine learning technology. Together, we collaborate to create advanced models that are capable of temporally tracking both static and dynamic actors as well as estimating road features. The State Estimation team is the interface of the perception system to various downstream autonomy consumers including motion planning, prediction, and localization.

The team's primary focus is on developing compute‑efficient models and systems that can perform a wide range of tasks such as closed world multi-object tracking, track‑to‑detection data association, object motion forecasting, uncertainty estimation, road shape estimation. The ultimate goal is to take these algorithms from the lab to the road, ensuring that they are optimized for onboard performance and able to function as production‑grade perception systems on vehicles.

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 tracking algorithms, ML algorithms, and models that can help vehicles reason about the world around them in real‑time.

What you’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 roboticist 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

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 in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field 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

Nice to have (optional):

• Ph.D. with machine learning focus, or equivalent experience.
• Experience developing and deploying machine learning models with compute constraints.

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 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

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

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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