Software Research Engineer (ML)

TL;DR

Software Research Engineer (ML): Designing and implementing advanced data infrastructure for autonomous mobility systems with an accent on auto-labeling, data mining, and dataset quality monitoring. Focus on building scalable pipelines, optimizing annotation efficiency, and integrating emerging AI approaches like vision-language models into production workflows.

Location: Must be based in Austin, TX

Company

hirify.global is a leader in autonomous mobility, developing self-driving cars and delivery robots for the future of transportation.

What you will do

• Design and implement algorithms to optimize annotation and auto-labeling systems.
• Build pipelines for data mining and active learning to identify high-value samples.
• Create systems to monitor dataset quality, identifying noise and redundancy.
• Develop analytics platforms, databases, and dashboards to track data coverage.
• Collaborate with ML and Perception teams to integrate research into production.
• Explore vision-language models and uncertainty estimation to enhance automation.

Requirements

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Must be authorized to work in the U.S.
• Strong Python proficiency for algorithm development.
• Solid understanding of ML metrics, evaluation, and dataset sampling.
• Experience with data processing and analysis at scale.
• Ability to bridge the gap between research prototyping and production engineering.

Nice to have

• Experience with human-in-the-loop ML or weak supervision.
• Exposure to 3D data, point clouds, or sensor fusion.
• Background in AV, robotics, or large-scale dataset development.
• Experience with foundation models or VLMs.
• Knowledge of workflow orchestration systems like Argo or Airflow.