ML Platform Engineer for Autonomous Vehicle Infrastructure

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

Benefits offered by this job

Equity compensation

Best-in-class healthcare, dental and

Job summary

Overland AI is hiring for a role focused on building and maintaining the infrastructure to train, evaluate, and deploy machine learning models for autonomous vehicles. You will write software to enable rapid labeling, create data processing pipelines and dashboards, and design distributed workflows across on-prem and cloud environments.

You will oversee on-prem and cloud infrastructure, storage, and compute resources while applying CI/CD practices to ensure reproducible ML lifecycles and close

Qualifications

• Proficient in Python and/or C++ with testing experience.
• Experience with batch processing tools (Spark, Beam, Ray).
• Experience with data stores such as MinIO, Postgres, Redshift/BigQuery.
• Ability to obtain and maintain a DoD Security Clearance.

Responsibilities

• Design and implement Overland AI's infrastructure to enable training, evaluating, and deploying ML models for autonomous vehicles.
• Write software to enable fast curation and creation of high-quality labels for robotics tasks.
• Design and implement data processing pipelines, dashboards, and visualization tools for model evaluation and dataset insights.
• Design and implement distributed workflows for data processing, training, and evaluation (on-prem and cloud).
• Oversee on-prem and cloud infrastructure including data storage, compute resources and access.
• Leverage CI/CD practices to make the ML lifecycle efficient and reproducible.
• Collaborate with experts in Perception and Behavior Planning.

Skills

Python

C++

Unit testing

Data pipelines

Tools

Spark

Beam

Ray

MinIO

Postgres

Redshift/BigQuery

Job description

Overland AI is hiring for a role focused on building and maintaining the infrastructure to train, evaluate, and deploy machine learning models for autonomous vehicles. You will write software to enable rapid labeling, create data processing pipelines and dashboards, and design distributed workflows across on-prem and cloud environments.

You will oversee on-prem and cloud infrastructure, storage, and compute resources while applying CI/CD practices to ensure reproducible ML lifecycles and close