Lead Machine Learning Engineer (Localization)

TL;DR

Lead Machine Learning Engineer (Localization): Architecting the next generation of localization stacks for autonomous vehicles with an accent on production-grade feature extraction and state estimation. Focus on developing robust neural architectures for 3D reconstruction, sensor fusion (vision/LiDAR/radar), and optimizing models for real-time performance.

Location: Remote (USA)

Salary: $235,000 - $285,000 USD

Company

hirify.global develops autonomous vehicle technology to create safer, greener, and more accessible transit for communities.

What you will do

• Architect and drive the technical roadmap for a production-grade localization ML stack, optimized for real-time performance and robustness.
• Lead the research, design, training, and validation of advanced neural architectures for object detection, segmentation, and 3D reconstruction.
• Own the end-to-end data strategy, including curation, auto-labeling, synthetic data, and active learning pipelines.
• Develop robust metrics and evaluation frameworks for localization performance and system-level reliability across diverse ODDs.
• Evaluate and integrate frontier techniques, including multimodal localization and vision/fusion foundation models.
• Drive cross-functional alignment to translate complex autonomy goals into clear software and system requirements.

Requirements

• Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• 7+ years of industry experience developing and deploying ML/DL models for computer vision or localization at scale.
• Deep expertise in computer vision foundations, BEV-based scene representation, and temporal modeling.
• Proficiency in PyTorch or TensorFlow, and strong programming skills in Python and/or C++.
• Experience with feature extraction and fusion from imagery, LiDAR, and/or radar.
• Must be based in the USA.

Nice to have

• 10+ years of experience in ML/DL for autonomous driving or ADAS systems.
• Experience using Vision-Language Models (VLMs) for auto-labeling and edge-case detection.
• Working knowledge of SLAM and state estimation concepts.
• Record of publications at top-tier conferences such as CVPR, NeurIPS, ICCV, or ECCV.

Culture & Benefits

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans.
• Health Savings (HSA) and Flexible Spending (FSA) accounts.
• Rich retirement benefits with an immediately vested employer safe harbor match.
• Generous paid parental leave and a phased return-to-work program.
• Flexible vacation policy in addition to paid company holidays.
• Total Wellness Program providing resources for overall wellbeing.