Senior Software Engineer - ML Platform
At a glance
Senior ML Platform & Ops role at Overland AI. Seattle · full-time · $200,000–$240,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build infrastructure for training, assessing and releasing machine-learning models used by autonomous vehicles
- Create software that combines AI and human input to produce high-quality robotics labels faster
- Develop data pipelines, dashboards and visual tools to examine model results and dataset insights
- Run distributed data, training and evaluation workflows across on-premises systems and cloud resources
- Manage storage, compute and access, while using CI/CD to make model development repeatable
What you bring
- A computer science, engineering or related degree, plus at least five years of relevant experience
- Strong Python skills, including writing unit and integration tests
- A solid grasp of data pipelines for machine-learning training, plus experience with batch tools such as Spark or another listed option
- Experience with data stores such as MinIO or Postgres, or another listed option
Who this fits
This senior role suits an engineer who takes ownership and works across disciplines in a small team, alongside Perception and Behavior Planning specialists. Seattle is the preferred location. You must be able to comply with U.S. export control laws.
From the employer
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.
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.
What You'll Do
- 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.
Minimum 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.
Desired Experience & Qualifications
- Prior industry experience in a similar software infrastructure or MLOps team
- Contributions to any related open source software project
Location:
The preferred location for this position is Seattle, WA
Compensation And Benefits
Pay Range:
Pay Range:
$200,000 - $240,000 annually
Actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Overland AI believes in creating a work environment that you look forward to embracing every day. Benefits incldue:
- 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 [peopleops@overland.ai] to request an accommodation.