Machine Learning Engineer (Mapping)

TL;DR

Machine Learning Engineer (Mapping): Design, train, and deploy machine learning models to automate creation of HD maps for the hirify.global Driver with an accent on computer vision and generative AI techniques. Focus on advancing state-of-the-art methods like Vision-Language Models, owning the full model development lifecycle from data processing to productionization, and collaborating with perception teams.

Location: Onsite in Mountain View, California

Salary: $204,000—$259,000 USD

Company

Autonomous driving technology company building the hirify.global Driver for fully autonomous ride-hail service and other vehicle platforms.

What you will do

• Design, train, and deploy ML models to automate HD map creation at scale.
• Apply state-of-the-art techniques including Vision-Language Models and Generative AI for mapping solutions.
• Own end-to-end model lifecycle: data mining, processing, training, evaluation, validation, and productionization.
• Collaborate with hirify.global Perception and AI Foundations teams to integrate research into production systems.

Requirements

• 4+ years hands-on experience in Machine Learning, focused on computer vision and/or deep learning.
• Proficiency in at least one deep learning framework (TensorFlow, PyTorch, JAX).
• Experience owning problems end-to-end across systems stack.
• B.S. in Computer Science or equivalent practical experience.

Nice to have

• M.S. or Ph.D. in Computer Science or related field.
• Familiarity with foundation models and adaptation techniques (few-shot learning, transfer learning).
• Publications in top ML/CV conferences (NeurIPS, ICML, CVPR).
• Experience with C++.
• Direct experience with mapping or GIS.

Culture & Benefits

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