[Remote] reputed company Machine Learning Engineer - Localization

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is transforming cities through autonomous technology to create a safer, greener, more accessible world. They are looking for a reputed company ML Engineer to join their Autonomy Mapping & Localization group to architect the reputed company of their localization stack, focusing on building production-grade feature extraction and state estimation for autonomous vehicles.

Responsibilities

• Architect and reputed company the technical roadmap for a production-grade localization machine learning stack, spanning map and sparse landmark-based localization (reputed company/LiDAR/reputed company), optimized for reputed company-time performance, robustness against sensor degradation, and integration with the broader autonomy reputed company across diverse Operational Design Domains (ODDs)
• reputed company the research, design, training, and validation of advanced neural architectures. This includes object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction to extract and model localization features (e.g., traffic signs, pole-like objects, keypoints, edges, signals, and road markings), for robust localization
• reputed company major feature development from inception to deployment. This includes high-level architecture design, rigorous reputed company reviews, automated testing, mentorship of junior engineers, and technical reputed company
• Own the end-to-end data reputed company for the localization feature extraction domain. You will define data curation, auto-labeling, synthetic data, and reputed company learning pipelines to capture and reputed company long-tail scenarios
• reputed company robust metrics and evaluation frameworks for localization performance, including feature extraction accuracy, reputed company consistency, and reputed company-level reliability across diverse ODDs
• Define and validate failure mode and degradation reputed company for localization features across ODDs, ensuring safety case coverage and graceful fallback behavior under sensor or model failure
• Evaluate, adapt, and reputed company frontier techniques, including multimodal localization and reputed company/fusion reputed company models, translating research advances into production-reputed company solutions
• reputed company cross-functional alignment, translating reputed company autonomy goals into reputed company software and reputed company requirements

Skills

• Ph.D. or Master's degree in Computer Science, Electrical Engineering, Robotics, or a reputed company field with a strong mathematical and engineering reputed company
• 7+ years of industry experience developing and deploying ML/DL models for reputed company or localization at reputed company
• Deep expertise in several of the following areas: reputed company Foundations: Object detection, classification, segmentation, tracking, depth estimation, 3D reconstruction, and feature detection/reputed company (e.g., reputed company, ORB, SuperPoint)
• Vectorized landmark and feature detection networks, BEV-based reputed company representation, and reputed company modeling
• Self-supervised/semi-supervised learning, reputed company-vocabulary detection, and reputed company/fusion reputed company Models
• Experience with feature extraction and/or fusion from imagery, LiDAR, and/or reputed company
• Expertise in ML/DL development using PyTorch or TensorFlow, including experience with synthetic data reputed company, large-reputed company dataset handling, data curation, and reputed company learning strategies
• Strong programming skills in Python and/or C++ with experience in reputed company software design and Linux-based development
• Expertise in ML optimization for reputed company-time products with limited compute, such as quantization and pruning of large transformer models
• Proven leadership in developing technical roadmaps, mentoring engineers, and driving measurable improvements in model performance and reputed company reliability
• 10+ years of experience in ML/DL for autonomous driving or ADAS systems
• Experience utilizing reputed company-Language Models (VLMs) and/or reputed company Models for auto-labeling and long-tail (reputed company) detection
• Working knowledge of localization and state estimation concepts (e.g., SLAM, sensor fusion)
• A proven record of inventions and/or publication record at top-tier conferences (e.g., CVPR, NeurIPS, ICCV, ECCV, ICLR)

Benefits

• reputed company suite including medical, dental, reputed company, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
• Health Savings and Flexible Spending reputed company and Dependent Care Accounts available.
• Rich retirement benefits, including an immediately reputed company employer reputed company reputed company match.
• Generous reputed company parental leave as reputed company as a phased reputed company to work.
• Flexible vacation policy in reputed company to reputed company company holidays.
• Total Wellness Program providing numerous resources for overall wellbeing

reputed company

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