Senior Software Engineer - ML Platform

About Overland AI Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success. Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success. Overland AI has secured funding from prominent defense tech investors including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations. In This Role, You Will Design and implement Overland AI’s infrastructure to enable training, evaluating, and deploying machine learning/deep learning models for autonomous vehicles, including: Writing software to enable the fast curation and creation of high-quality labels for various robotics tasks using state-of-the-art AI and human feedback. Design and implement data processing pipelines, dashboards, and visualization tools for model evaluation and dataset insights. Design and implement distributed workflows, including data processing, training, and evaluation (on-prem and cloud). Be responsible for on-prem and cloud infrastructure including data storage, compute resources and access. Leverage CI/CD practices to make the machine learning lifecycle efficient and reproducible. Collaborate closely with experts in Perception and Behavior Planning. Qualifications Bachelor's degree in computer science, engineering, or related discipline and 5+ years of relevant experience Strong programming skills in Python, including unit and integration testing Strong understanding of data processing pipelines for training ML models Experience with batch processing tools, such as Spark, Beam, Ray, etc. Experience with data stores and databases, such as MinIO, Postgres, Redshift/BigQuery, etc. You excel in a small-team atmosphere, taking ownership of problems and working with your colleagues to solve problems across disciplines. Preferred Prior industry experience in a similar software infrastructure or MLOps team Contributions to any related open source software project Benefits The salary range for this position is $120K to $300K annually Equity compensation Best-in-class healthcare, dental and vision plans. Flexible PTO 401k with company match Parental leave Overland AI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, age, marital status, disability, genetic information, protected veteran or military status, or any other status protected by applicable law. This position may involve access to export-controlled technology. Employment is contingent on the ability to comply with U.S. export control laws. Overland AI provides reasonable accommodations for qualified individuals with disabilities and disabled veterans during the application process. Please contact [View email address on click.appcast.io] to request an accommodation. #J-18808-Ljbffr Overland AI