Applied Research Scientist, Multi-Modal Perception (AI)

TL;DR

Applied Research Scientist, Multi-Modal Perception (AI): Developing spatial-temporal representations and semantic meanings of the surrounding environment for autonomous vehicles with an accent on ML methods, task scaling, and performance. Focus on identifying real-world root causes in ML systems and developing AI-aided analysis tools for safety-critical issues.

Location: Hybrid or On-site in Mountain View or San Francisco, California, USA

Salary: $175,000—$215,000 USD

Company

hirify.global is an autonomous driving technology company building the hirify.global Driver to improve mobility and road safety through fully autonomous ride-hailing services.

What you will do

• Own ML Driver tasks, creating methods and recipes to improve task scaling and performance.
• Analyze real-world ML system behavior to identify root causes and develop short- and long-term solutions.
• Develop AI-aided analysis, debugging tools, and automatic detection methods for production regressions.
• Create and maintain metrics for safety-critical and long-tail issues relevant to autonomous driving.

Requirements

• Bachelor's degree in Computer Science or similar, 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.
• Must be based in or able to work from Mountain View or San Francisco, California.

Nice to have

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

Culture & Benefits

• Discretionary annual bonus program.
• Equity incentive plan.
• Generous company benefits program.