Senior Software Engineer, Unified Modeling (CV / ML)

Senior Software Engineer, Unified Modeling (CV / ML) Latitude AI (lat.ai) develops automated driving technologies, including L3, for 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.

Meet The Team The 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.

What You'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

What You'll Need To Succeed 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

Nice To Have (optional) 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)

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

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 at lat.ai ! 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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