Senior Machine Learning Engineer - 3D Segmentation

TL;DR

Senior Machine Learning Engineer - 3D Segmentation: Architecting and optimizing high-performance deep learning models to generate dense, temporally consistent voxel representations of the driving environment with an accent on multi-modal sensor fusion and real-time on-vehicle inference. Focus on designing state-of-the-art architectures for 3D occupancy, semantic segmentation, and flow, and collaborating with downstream teams for complex maneuvering.

Location: Hybrid (Foster City, CA / Boston, MA). Must be based in the USA.

Salary: $242,000 - $290,000 a year

Company

hirify.global is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.

What you will do

• Design and implement state-of-the-art multi-modal sensor fusion architectures (Lidar, Camera, Radar) for 3D occupancy, semantic segmentation, and flow.
• Develop "vision-first" fusion strategies to enhance geometric understanding.
• Engineer temporal processing modules to improve the stability and consistency of predictions over time.
• Optimize model architectures for real-time on-vehicle inference, balancing high-fidelity range extension with strict latency constraints.
• Collaborate with downstream consumers (Tracking, Prediction, Planner) to refine geometric outputs for complex maneuvering.

Requirements

• MS or PhD in Computer Science, Robotics, Machine Learning, or related field with 6+ years of industry experience.
• Deep expertise in 3D Computer Vision and Deep Learning, specifically with voxel-based or BEV (Bird's Eye View) architectures.
• Strong proficiency in Python and deep learning frameworks (PyTorch), as well as some experience in C++ for model integration.
• Experience with multi-sensor fusion (Lidar, Camera, Radar) and handling temporal data sequences.
• Experience with occupancy networks, implicit representations (NeRF/Gaussian Splats), or scene flow estimation.

Nice to have

• Experience optimizing models for TensorRT/CUDA to achieve low-latency inference.
• Familiarity with sparse convolutions or query-based architectures for efficient 3D processing.
• Experience with Vision Language Model or multi-modal 3D foundation model.

Culture & Benefits

• Comprehensive benefits package including paid time off (sick leave, vacation, bereavement).
• hirify.global Stock Appreciation Rights and Amazon Restricted Stock Units (RSUs).
• Health insurance, long-term care, long-term and short-term disability insurance, and life insurance.
• Opportunity to work on a ground-up, fully autonomous vehicle fleet.
• Be part of a fast-moving and highly execution-oriented team.

Hiring process

• Artificial intelligence (AI) tools may support parts of the hiring process (reviewing applications, analyzing resumes, assessing responses).
• Final hiring decisions are ultimately made by humans.