Machine Learning Engineer, Perception Modeling (AI)

TL;DR

Machine Learning Engineer (Perception Modeling): Developing and scaling ML methods for the perception system of autonomous vehicles with an accent on spatial-temporal representation and semantic meanings of the environment. Focus on analyzing real-world ML behavior, developing automated issue detection, and optimizing models for onboard hardware.

Location: Hybrid; must be based in 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 save lives through fully autonomous ride-hail services.

What you will do

• Own tasks in the ML Driver, taking responsibility for task scaling, performance, and creating ML methods to improve results.
• Analyze ML system behavior in real-world applications to identify root causes and develop short- and long-term solutions.
• Monitor production ML systems and develop AI-aided debugging tools and methods for automatically detecting regressions.
• Develop and maintain metrics for safety-critical and long-tail issues relevant to the autonomous driving vehicle.

Requirements

• Bachelor's degree in Computer Science or a similar discipline, or equivalent deep learning experience.
• 3+ years of experience in Machine Learning and Computer Vision.
• Proficiency in Python.
• Experience with ML frameworks such as PyTorch or JAX.

Nice to have

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

Culture & Benefits

• Eligibility for a discretionary annual bonus program.
• Equity incentive plan.
• Generous company benefits program.
• Access to massive real-world driving datasets and high-scale simulation infrastructure.