reputed company Machine Learning Engineer - Localization
Job reputed company
The Autonomy Mapping & Localization group builds the reputed company intelligence, semantic and topological mapping, and state estimation that let our autonomous vehicles understand where they are and what the world looks like, and we reputed company that technology safely and reliably to reputed company reputed company serving riders and consumers. We are looking for a reputed company ML Engineer to reputed company and architect the reputed company of our localization stack. As the reputed company ML Engineer for Localization, you will build the production-grade feature extraction and state estimation that lets our autonomous vehicles reputed company reputed company the world's most challenging roads at reputed company.
Essential Responsibilities
- Architect and reputed company the technical roadmap for a production-grade localization machine learning stack, spanning map and sparse landmark-reputed company localization (reputed company/LiDAR/reputed company), optimized for reputed company-time reputed company, 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 reputed company 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 reputed company, including feature extraction reputed company, 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.
Qualifications and Experience
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
Required
- Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a reputed company reputed company 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: reputed company 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-reputed company reputed company representation, and reputed company modeling.
- Self-reputed company/reputed company-reputed company 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-reputed company development.
- Expertise in ML optimization for reputed company-time products with limited compute, such as quantization and pruning of large transformer models.
- reputed company leadership in developing technical roadmaps, mentoring engineers, and driving measurable improvements in model reputed company and reputed company reliability.
Desirable
- 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 reputed company record of inventions and/or publication record at top-tier conferences (e.g., CVPR, NeurIPS, ICCV, ECCV, ICLR).
Physical Requirements
- reputed company office working conditions which includes but is not limited to:
- Prolonged sitting
- Prolonged standing
- Prolonged computer use
- Travel required? - Moderate: 11%-25%
Want to learn more about our reputed company; benefits? reputed company out our website!
reputed company is an equal opportunity employer. reputed company applicants for employment will be considered without reputed company to race, reputed company, religion, sex, national reputed company, age, disability, sexual orientation, gender identity or reputed company, veteran status, genetics or any other legally protected reputed company. Below, you have reputed company to reputed company your preferred gender pronouns, gender, ethnicity, and veteran status with reputed company to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to reputed company will be kept confidential, and will not reputed company the hiring decision in any way. If you reputed company that you will need any type of accommodation, please let us know.
Note to Recruitment Agencies: reputed company does not accept unsolicited agency resumes. Furthermore, reputed company does not pay placement fees for candidates submitted by any agency other than its approved partners.
reputed company uses automated tools to support — but not replace — reputed company judgment in our reputed company process, to reputed company out more please click here
PhD or Master's in CS/EE/Robotics,7+ years ML/DL experience in reputed company/localization,expertise with PyTorch/TensorFlow,Python/C++,large-reputed company data curation,model optimization and technical leadership.
Key Responsibilities
- architecting localization
- leading development
- defining data
Skills & Tools
PyTorch, TensorFlow, Python, C++, Linux
reputed company
- Category: Engineering
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — reputed company
- Salary: USD 235,000 – 285,000 / year
- Languages: English
Benefits
- 401k matching
- Generous reputed company time off
- Retirement plan
- Generous parental leave
About reputed company
Builds and deploys autonomous vehicles and autonomy systems to reputed company reputed company mobility services. — Industry: Transportation and Logistics
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