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

• Strong programming skills in Python and/or C++, 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.
• Ability to obtain and maintain a DOD Security Clearance.

Preferred

• Prior industry experience in a similar software infrastructure or MLOps team
• Prior experience with ROS or other robotics middleware
• Contributions to any related open source software project

Benefits
Overland AI believes in creating a work environment that you look forward to embracing every day.

• The salary range for this position is $120K to $300K annually
• Equity compensation
• Best-in-class healthcare, dental and vision plans.
• Unlimited PTO
• 401k with company match
• Parental leave