Principal Machine Learning Engineer, Geometric Vision (Autonomous Driving)

Location: Sunnyvale, California, USA; full-time hybrid role based in the office

Salary: $407,330–$460,020 per year, plus equity

Company

hirify.global develops embodied AI software and foundation models for mapless, hardware-agnostic automated driving systems.

What you will do

• Design, train, and evaluate 3D foundation models and world models using large-scale driving data.
• Develop architectures for 3D perception, geometric reasoning, reconstruction, and scene dynamics across space and time.
• Build scalable data-generation, auto-labeling, offline SLAM, 3D reconstruction, calibration, and ground-truth pipelines.
• Apply multi-view geometry, neural rendering, NeRFs, Gaussian Splatting, implicit representations, and feedforward 3D modeling.
• Fuse camera, radar, LiDAR, and other sensor data into rich representations of the physical world.
• Set technical direction and optimize and deploy models in production autonomous-driving systems.

Requirements

• Deep expertise in 3D computer vision, geometric vision, or 3D machine learning.
• Experience designing, training, and evaluating modern deep-learning models at scale with PyTorch or a comparable framework.
• Strong foundations in geometry, linear algebra, probability, optimization, and 3D transformations.
• Excellent software engineering skills in Python and C++.
• Experience taking difficult research problems through data, training, evaluation, or deployment pipelines.
• Principal-level technical leadership and experience setting research and engineering direction.

Nice to have

• Experience with large-scale vision pre-training, self-supervised learning, video or generative models, and learned scene dynamics.
• Experience with multimodal perception, distributed training, large-scale experimentation, and deployment on resource-constrained hardware.

Culture & Benefits

• Hybrid work combining time in offices and workshops with work from home.
• Competitive equity package.
• Inclusive interview experience with accommodations available on request.
• Inclusive and respectful culture focused on collaboration, learning, and technical impact.