Senior Software Engineer - ML Platform

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 Machine Learning Platform team is the engine driving all ML initiatives at Latitude. We provide the essential services for every ML pipeline, training run, and critical workflow automation across multiple internal teams.

Our flagship product is BlueMind, our in-house platform for orchestrating, executing, and rigorously tracking all ML experiments. Every piece of ML training at Latitude runs on BlueMind, which seamlessly integrates with our high-performance computing cluster, dataset versioning tools, and logging/artifact frameworks.

Beyond ML training, we maintain platforms that orchestrate vital business processes, including simulation execution, metrics calculation, bench test execution, map and labeled data production, vehicle/simulation event triage.

Our platforms utilize a powerful combination of cutting-edge off-the-shelf and robust in-house web applications and libraries, all integrated with cloud resources.

We are looking for experienced candidates who thrive in a fast-paced, collaborative, and distributed environment. If you are a senior engineer who is ready to transform customer needs and innovative ideas into impactful new platform features, we want to hear from you. 

What you’ll do: 

• Drive Innovation on the BlueMind ML Platform: Contribute to the development and enhancement of the in-house BlueMind platform, a critical tool for ML experiment tracking and execution. This platform supports the construction and execution of complex ML training and inference workflows on an on-premise HPC cluster, integrating with other internal and off-the-shelf services for dataset versioning, data lineage, artifact tracking, checkpointing, logging, and metrics tracking
• Serve as a Trusted Partner to ML Teams: Regularly engage with and understand the unique needs of diverse ML teams across Latitude (including Scalable Machine Learning, Sensing, Autonomy Behavior, State Estimation, Intelligent Systems Evaluation, Bench Testing, and Virtual Test Ecosystem). You will be instrumental in capturing requirements, authoring robust design documents, implementing high-quality solutions, validating results, and providing critical support for production services
• Tackle Complex, High-Impact Challenges: Apply your experience and creativity to solve large-scale, complex technical problems in a dynamic, fast-paced environment, with a direct focus on accelerating Latitude's product launch goals and core mission
• Develop and Own Full-Stack Features: Design, implement, and enhance a wide range of full-stack capabilities, spanning web APIs/services, React applications and component libraries, custom and generated client libraries, command-line interfaces, Kubernetes resources, cloud architecture, and crucial integration solutions for our on-premise HPC cluster
• Collaborate Across Engineering Boundaries: Work closely with essential supporting teams, including internal Cloud Platform, Product, and Site Reliability teams, as well as external vendors, to ensure the smooth build, deployment, monitoring, and support of our foundational ML platforms

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
• 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.