Senior Software Engineer, Auto Labelling (AI)

TL;DR

Senior Software Engineer (AI/ML): Building and optimizing a cutting-edge offline perception and auto-labelling system leveraging computer vision and machine learning with an accent on large-scale data orchestration and pipeline scalability. Focus on productionizing deep learning models and optimizing complex workloads using distributed computing frameworks.

Location: Remote US & Canada or Hybrid in Dallas, Phoenix, Pittsburgh, San Francisco, or Toronto

Salary: $170,000 - $220,000 USD

Company

hirify.global is a technology start-up and leader in Physical AI, developing autonomous transportation technology for commercial trucks and robotaxis.

What you will do

• Develop cutting-edge offline perception and auto-labelling systems leveraging computer vision and ML.
• Manage the end-to-end orchestration of large-scale auto-labelling training, evaluation, and automation ecosystems.
• Architect and scale data pipelines to handle large-scale data and requests using distributed computing frameworks.
• Collaborate with ML researchers and engineers to deploy new architectures into the production environment.

Requirements

• Bachelor's degree in Computer Science, Robotics, or a similar technical field.
• 3+ years of experience developing solutions in ML systems or the ML software stack.
• Proficiency in Python with a track record of writing production-grade code.
• Deep understanding of ML system architecture, performance analysis, and profiling tools.
• Experience with end-to-end productionization of deep learning models, specifically large-scale online inference.
• Must be based in the US or Canada.

Nice to have

• Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.
• Experience working with large Vision-Language Models (VLMs).

Culture & Benefits

• Competitive compensation and equity incentive awards.
• Comprehensive Health, Dental, and Vision coverage for full-time employees.
• Unlimited Vacation and flexible working hours.
• Work from Home support and catered meals when in the office.
• Regularly scheduled team-building activities and social events.