> Markdown version of [/jobs/ext/2713485-machine-learning-engineer-localization](https://www.wearedevelopers.com/jobs/ext/2713485-machine-learning-engineer-localization). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - Localization - **Company:** Torc Robotics, Inc. - **Location:** Ann Arbor, MI, United States - **Experience:** Expert - **Salary:** $177,300.0 - $212,800.0 - **Contract:** Permanent contract - **Skills:** C++ (Programming Language), Code Review, Data Structures, Software Debugging, Distributed Systems, Python (Programming Language), Machine Learning, Open Source Technology, Performance Tuning, Tensorflow, Sensor Fusion, Software Engineering, Pytorch, Kubernetes, Information Technology, Machine Learning Operations, C++14, Lidar, Data Generation - **Published:** September 4, 2026 - **Apply:** https://www.dice.com/job-detail/7f146f98-cfb2-4f86-9b3c-2c532790a52e ## About the Role * Bachelor's degree in Computer Science, Software Engineering, Robotics, or a related field with 6+ years of relevant industry experience, or a Master's degree with 3+ years of relevant industry experience, or a PhD with 1+ year of relevant industry experience. * Experience with AV or robotics localization systems (e.g., LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation). * Strong experience developing and deploying ML models for perception, localization, or sensor fusion domains. * Proficiency with PyTorch and modern ML tooling for training, inference, and optimization. * Solid understanding of 3D geometry, probabilistic estimation, coordinate transforms, and robotics fundamentals. * Demonstrated ability to work with large multimodal datasets and build scalable pipelines for processing, labeling, and evaluation. * Strong software engineering fundamentals in Python and C++, including algorithms, data structures, testing, debugging, and performance optimization. * Strong written and verbal communication skills and the ability to work effectively on cross-functional teams. Bonus Points * Experience with state estimation techniques such as factor graphs, Kalman filtering, nonlinear optimization, or related probabilistic estimation methods. * Familiarity with distributed computing tools such as Ray, Kubernetes, or similar orchestration frameworks. * Knowledge of embedded and real-time constraints for on-vehicle deployment. * Experience in simulation, synthetic data generation, and uncertainty-aware ML modeling. * Contributions to open-source robotics, perception, or ML frameworks. * Familiarity with functional safety standards and automotive development processes, including ISO 26262. Work Location: For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States. ## Description The Ego-Motion & Localization Team develops the ML models, state estimation algorithms, and production software responsible for estimating vehicle pose, velocity, and acceleration in real time. Our solutions fuse information from multiple sensors and maintain robust performance despite sensor imperfections, environmental challenges, and system degradation. As part of this team, you will develop and deploy production-ready localization and sensor fusion solutions and help solve the challenges of bringing autonomous vehicle technology to real-world commercial applications. What You'll Do * Design, develop, and deploy production ML models for ego-motion estimation and localization, including learned pose estimation, sensor extrinsic calibration, map matching, and sensor fusion using camera, LiDAR, radar, and other vehicle sensors. * Develop scalable training and evaluation workflows using PyTorch, distributed training infrastructure, and large-scale real-world datasets. * Design and improve state estimation and sensor fusion algorithms for robust vehicle pose, velocity, and acceleration estimation. * Analyze large-scale vehicle data to characterize performance, identify failure modes, and drive model and system improvements. * Develop robust, efficient production software in modern C++ and Python across the full development lifecycle. * Define evaluation, verification, and validation strategies to ensure localization quality, robustness, and safety across diverse operating conditions. * Make technical design and architecture decisions, balancing model performance, computational efficiency, robustness, and production constraints. * Collaborate with perception, mapping, planning, controls, and platform teams to deliver integrated autonomous driving capabilities. * Provide technical leadership through design reviews, code reviews, mentoring, and development of engineering best practices. ## Related Videos - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) - [Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!](https://www.wearedevelopers.com/videos/479-robots-are-coming-into-the-wild-full-stack-robotics-engineers-be-ready) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)