Senior Machine Learning Engineer, Driver Understanding and Evaluation (Autonomous Driving)

TL;DR

Senior Machine Learning Engineer (Autonomous Driving): Developing 4D world models and generative systems for ultra-realistic sensor simulation with an accent on video generation and semantic understanding. Focus on building scalable ML pipelines for generative AI, implementing Diffusion and Flow Matching techniques, and enhancing simulation controllability via VLMs.

Location: Mountain View, California (On-site/Hybrid)

Salary: $204,000—$259,000 USD

Company

hirify.global is an autonomous driving technology company building the World's Most Experienced Driver to improve mobility and safety.

What you will do

• Lead the design and deployment of 4D world models and generative systems for ultra-realistic sensor and semantics generation in simulation.
• Architect and implement scalable ML pipelines for training, evaluating, and deploying large-scale generative models.
• Build production-ready video generation techniques using Diffusion and Flow Matching for interactive simulation environments.
• Apply Vision Language Models (VLMs) to improve semantic understanding and controllability of world simulation products.
• Collaborate with research teams across hirify.global and Alphabet to integrate SOTA research into production solutions.
• Mentor and provide technical guidance to other engineers on the team.

Requirements

• MS or PhD in Computer Science, Machine Learning, Robotics, or a related field.
• 5+ years of experience in ML engineering and applied Deep Learning with a portfolio of shipped products.
• Proven experience training large-scale generative models for video generation (Diffusion, Flow Matching) or VLMs.
• Deep expertise in 3D World Modeling or 3D computer vision.
• Proficiency in Python and ML frameworks such as Jax/Flax, PyTorch, or TensorFlow.
• Must be based in or able to work from Mountain View, California.

Nice to have

• PhD with a strong track record in 3D generative models, world models, or video generation.
• Experience simulating sensor data (Camera, Lidar, Radar) and semantic scenes.
• Experience with autonomous systems, robotics, or autonomous vehicle simulation.
• Experience optimizing large-scale models on GPU/TPU clusters.
• C++ proficiency for production systems.

Culture & Benefits

• Work on a mission-driven product aiming to save thousands of lives through autonomous driving.
• Discretionary annual bonus program.
• Equity incentive plan.
• Generous company benefits program.