Senior Software Engineer - ML Platform

Overland AI; Seattle (WA); On-site; USD 120,000 - 300,000; Full time

Benefits offered by this job

Equity compensation

Best-in-class healthcare

Flexible PTO

401k with company match

Parental leave

Job summary

Overland AI in Seattle is seeking an experienced engineer to design infrastructure for training, evaluating, and deploying ML models for autonomous vehicles. You will write software to enable high-quality labeling, and build data pipelines, dashboards, and visualization tools for model evaluation.

You will manage on-prem and cloud infrastructure, leverage CI/CD to accelerate the ML lifecycle, and collaborate with Perception and Behavior Planning to advance field-ready AI for defense applications.

Qualifications

• BS CS/Engineering or related field with 5+ years of relevant experience.
• Strong Python programming skills with unit and integration testing.
• Solid understanding of data processing pipelines for ML model training.
• Experience with batch processing tools (Spark, Beam, Ray).
• Experience with data stores such as MinIO, Postgres, Redshift/BigQuery.

Responsibilities

• Design and implement infrastructure to train, evaluate, and deploy ML models for autonomous vehicles.
• Develop data processing pipelines, dashboards, and visualization tools for model evaluation and dataset insights.
• Create distributed workflows for data processing, training, and evaluation (on-prem and cloud).
• Manage on-prem and cloud infrastructure, including data storage and compute resources.
• Apply CI/CD practices to streamline the ML lifecycle and collaborate with Perception and Behavior Planning.

Skills

Python

Data pipelines

ML infra

CI/CD

Team ownership

Education

Bachelor's degree in CS/Engineering

Tools

Spark

Beam

Ray

MinIO

Postgres

Redshift/BigQuery

Job description

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 [[e-mail]] to request an accommodation.