Senior Machine Learning Engineer - Localization
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Role details
Tech stack
Job description
This role will focus on advancing machine learning systems that support localization, ego-motion estimation, and sensor fusion for autonomous vehicle applications. You will work across data, model development, and production software to improve performance, robustness, and validation in real-world driving conditions. The position also partners closely with cross-functional engineering teams to bring high-performing localization capabilities into production., * Design and deploy ML models for ego-motion estimation and localization
- Develop scalable training workflows using PyTorch and real-world datasets
- Improve state estimation and sensor fusion algorithms for vehicle dynamics
- Analyze vehicle data to drive model and system enhancements
- Develop production software in C++ and Python across the development lifecycle
- Define validation strategies for localization under diverse conditions
- Make technical decisions balancing performance and production needs
- Collaborate across teams to integrate autonomous driving capabilities
Requirements
- Bachelor’s in CS, Software Engineering, Robotics, or related field with 6+ years of experience, Master’s with 3+ years, or PhD with 1+ year
- Experience with AV or robotics localization systems, including LiDAR, visual odometry, and SLAM
- Strong experience developing and deploying ML models for perception and sensor fusion
- Proficient in PyTorch and ML tooling for training and optimization
- Solid understanding of 3D geometry and probabilistic estimation principles
- Experience with large multimodal datasets and scalable processing pipelines
- Strong fundamentals in Python and C++, with emphasis on algorithms and performance optimization
Benefits & conditions
- 100% covered medical, dental, and vision premiums for full-time employees
- 401K plan with 6% employer match
- Flexible scheduling and immediate paid vacation
- Company-wide holiday office closures
- AD+D and Life Insurance
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification-your background could be exactly what this team needs.
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