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# Senior Machine Learning Engineer - Localization

- **Company:** The Ladders
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $177,300.0 - $212,800.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Python (Programming Language), Machine Learning, Performance Tuning, Sensor Fusion, Software Engineering, Pytorch, Machine Learning Operations, Lidar, Data Pipelines
- **Published:** September 10, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pj27171g7i

## About the Role

* 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

## 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


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