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 development and safe operation of self-driving vehicles depends on effective platforms for large scale data processing and generation across many domains. The Machine Learning Platform team is responsible for several cloud-based products and services that provide convenient business process orchestration, machine learning training, and large scale data management capabilities for our internal customers.
We provide critical services for dataset generation as well as executing machine learning training and experiments, including workflow automation, large scale data storage, and a centralized service for executing, monitoring, and tracking the history of machine learning experiments in a distributed high performance computing environment. We also automate workflows for building high definition mapping data, annotating vehicle sensor data for machine learning datasets, and triaging events from vehicle tests through orchestration of human-in-the-loop processes. We work with customer teams to model business processes and integrate their custom web applications and microservices for building domain-specific datasets. We implement frontend web applications for management of workloads in all of our systems
We are seeking experienced candidates who thrive in a fast-paced collaborative environment, enjoy being a part of a distributed team, and can transform ideas into new features.
What you'll do: Leverage your experience and creativity to solve complex problems in a fast-paced environment, often at large scale Collaborate with internal teams to identify new products, requirements, features, and interfaces Design, implement, and enhance products and services that support multiple initiatives for internal customers, including services, web applications and component libraries, command line interfaces, and Kubernetes resources Collaborate with internal operations customers in order to model automated workflows Collaborate within and across teams at all phases of execution Work closely with cloud platform teams to develop and maintain large scale services and tooling Integrate our internal products with 3rd party services Work with product, and UX teams to ensure a cohesive experience for users across multiple platforms Support services in production 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 and 2+ years of relevant experience, or PhD) 4+ years of full-stack software engineering experience Strong communication, problem solving, task prioritization, and teamwork skills Solid architecture and design skills Experience coding with Python and familiarity with popular python tools and frameworks such as poetry and fast api Some knowledge or pytorch, ddp, ray and overall distributed machine learning Some knowledge of distributed file systems Experience with SQL databases Experience with cloud infrastructure (e.g.: AWS, GCP, Terraform, Kubernetes) Experience with high performance computing environments Nice to have: Experience with workflow automation frameworks (e.g. Airflow, Dagster, Camunda) Experience with Java and/or other JVM-based languages Experience with TypeScript and/or JavaScript, Node.js, and frameworks (e.g.: React, Redux, MUI) Experience with Bazel, Gradle, and/or other build tools 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 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 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 $170,560-$234,520 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.
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