Machine Learning Engineer (Perception)

TL;DR

Machine Learning Engineer (Perception): Building spatial-temporal representations and semantic meanings of the surrounding environment for autonomous vehicles with an accent on task scaling and performance optimization. Focus on analyzing real-world ML system behavior, developing AI-aided debugging tools, and ensuring safety-critical reliability.

Location: Hybrid (Mountain View or San Francisco, California, USA)

Salary: $204,000 — $259,000 USD

Company

hirify.global is an autonomous driving technology company building the hirify.global Driver to improve mobility and safety across various vehicle platforms.

What you will do

• Own tasks in the ML Driver, taking responsibility for task scaling and performance using ML methods and recipes.
• Analyze the behavior of ML systems in real-world applications to identify root causes and develop long-term solutions.
• Monitor production ML systems and develop automated issue detection and AI-aided debugging tools.
• Develop and maintain metrics for safety-critical and long-tail issues relevant to autonomous driving.

Requirements

• Bachelors in Computer Science, a similar discipline, or equivalent deep learning experience.
• 3+ years experience in Machine Learning and Computer Vision.
• Proficiency in Python.
• Experience with ML frameworks such as PyTorch or JAX.
• Must be based in or authorized to work in US locations (Mountain View or San Francisco, CA).

Nice to have

• MS or PhD Degree in Machine Learning, Robotics, or Computer Science.
• Publications at top-tier conferences (e.g., CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS).
• Experience with C++.

Culture & Benefits

• Hybrid work arrangement.
• Discretionary annual bonus program.
• Equity incentive plan.
• Comprehensive company benefits program.