Relomote
Remote JobsRelocation Jobs
Add companySaved
Relomote

Relomote is a job board for remote, hybrid, and relocation jobs — every listing AI-classified for the countries it actually hires from, or the visa and relocation support it offers.

LinkedInCrunchbase

Remote jobs by category

  • Remote Engineering & Development jobs
  • Remote Customer Support jobs
  • Remote Design jobs
  • Remote Marketing jobs
  • Remote Sales jobs
  • Remote Product jobs
  • Remote Data & Analytics jobs
  • Remote People & Talent jobs
  • Remote Writing & Content Creation jobs
  • Remote Finance jobs
  • Remote Legal & Compliance jobs
  • Remote Operations & Admin jobs
  • Remote Data Entry jobs
  • Remote Virtual Assistant jobs
  • Remote Education/Training jobs
  • Remote Healthcare/Clinical jobs
  • Remote Other jobs

Remote jobs by location

  • Work from anywhere jobs
  • Remote jobs in Africa
  • Remote jobs in Asia
  • Remote jobs in Europe
  • Remote jobs in Latin America
  • Remote jobs in Middle East
  • Remote jobs in North America
  • Remote jobs in Oceania
  • All remote jobs →

Relocation & visa sponsorship

  • Visa sponsorship jobs
  • Relocation package jobs
  • Relocate to Europe
  • Relocate to Germany
  • Relocate to Netherlands
  • Relocate to Spain
  • Relocate to Portugal
  • Relocate to Greece
  • Relocate to United Kingdom
  • Relocate to Canada
  • Relocate to Australia
  • Relocate to Sweden
  • Relocate to Switzerland
  • Relocate to Japan
  • Relocate to United Arab Emirates
  • All relocation jobs →

© 2026 RelomoteAboutPrivacyTerms

Contact [email protected] · Built by Mahmoud

Relomote
Remote JobsRelocation Jobs
Add companySaved
Latitude AI logo

Senior / Staff Software Engineer- Unified Modeling (Machine Learning)

Latitude AI
Posted May 28, 2026, 12:16 AM UTC
🇺🇸United States🏠Remote📁Engineering & Development
Is this job info correct?

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. 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 Unified Model development team is a group of highly skilled and experienced professionals who specialize in cutting-edge computer vision and machine learning technology. Together, we collaborate to create advanced detection models that are capable of generating representations of both static and dynamic actors. These representations are then utilized by various downstream autonomy consumers including motion planning, prediction, and localization. The team's primary focus is on developing compute-efficient, multi-view, multi-sensor deep learning models that can perform a wide range of tasks such as 3D object detection, lane line detection, state estimation, and scene segmentation. 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 vision 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 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 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 plus 7 years of industry experience. 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. Level and title will ultimately be determined based one experience and interview performance. Nice to have (optional): Ph.D. with machine learning focus, or equivalent experience Experience developing and deploying temporal computer vision models (for instance, 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. 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

Similar jobs

Similar jobs

NS

Associate/Journey Salesforce Developer, Information Technology (REMOTE AVAILABLE) [R0151805]

Nshe

🇺🇸United States2 hours ago
VO

Platform Engineer

Volarisgroup

🇺🇸United States2 hours ago
VO

QA Automation Engineer

Volarisgroup

🇺🇸United States2 hours ago
ON

Bswift System Analyst - Remote (EST)

Onedigital

🇺🇸United States3 hours ago
DE

Eligibility Technician Lead

Denver

🇺🇸United States3 hours ago
DE

Lead Eligibility Technician

Denver

🇺🇸United States3 hours ago