Staff Machine Learning Engineer (VLM/LLM)

TL;DR

Staff Machine Learning Engineer (VLM/LLM): Developing end-to-end evaluation systems and benchmarks for Foundation models used in autonomous driving with an accent on the quality, safety, and realism of embodied AI agents. Focus on implementing large-scale data pipelines and landing disruptive AI technology into production.

Location: Hybrid; must be based in Mountain View, San Francisco, New York City, or Kirkland (USA)

Salary: $238,000—$302,000 USD

Company

hirify.global is an autonomous driving technology company dedicated to building the world's most trusted driver to improve mobility and save lives.

What you will do

• Build state-of-the-art Foundation Models for both onboard autonomous vehicles and offboard simulation systems.
• Lead the development of end-to-end evaluation systems and benchmarks across the model lifecycle (pretraining, SFT, RL).
• Evaluate the quality, safety, and realism of embodied AI agents.
• Partner across organizations to integrate disruptive and innovative technology into production.
• Implement and extend large-scale data and evaluation pipelines.

Requirements

• Master's or PhD degree in Computer Science or a similar technical field.
• 5+ years of experience in ML engineering and applied Deep Learning with a strong portfolio of shipped products or publications.
• Experience with large-scale distributed systems.
• Proficiency in Python and C/C++.
• Strong analytical and debugging skills.

Nice to have

• Experience in ML infrastructure, including training, evaluating, and deploying models at scale.
• Deep learning expertise in generative models (LLMs/VLMs) and/or reinforcement learning.
• In-depth knowledge of ML frameworks such as PyTorch, JAX, or TensorFlow.

Culture & Benefits

• Hybrid work schedule.
• Eligibility for a discretionary annual bonus program.
• Equity incentive plan.
• Generous comprehensive company benefits program.