Senior ML Engineer – Tracking

This is a fully remote position, open to applicants in United States.

📋 Description

• Create, develop, and implement production ML models for multi-object tracking, encompassing association, learned pose and kinematic estimation, and sensor fusion utilizing camera, LiDAR, radar, and various vehicle sensors.

• Establish scalable training and evaluation processes using PyTorch, distributed training infrastructure, and extensive real-world datasets.

• Design and enhance tracking and sensor fusion algorithms to ensure robust vehicle pose and kinematics.

• Examine large-scale vehicle data to assess performance, pinpoint failure modes, and promote improvements in models and systems.

• Produce robust, efficient production software using modern C++ and Python throughout the entire development lifecycle.

• Specify evaluation, verification, and validation strategies to guarantee tracking quality, robustness, and safety across different operating conditions.

• Make informed technical design and architecture choices, weighing model performance, computational efficiency, robustness, and production constraints.

• Collaborate with teams focused on perception, mapping, planning, controls, and platforms to deliver cohesive autonomous driving capabilities.

• Offer technical leadership through design reviews, code reviews, mentoring, and the development of engineering best practices.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a similar field with over 6 years of applicable industry experience, or a Master’s degree with more than 3 years of relevant experience, or a PhD with at least 1 year of pertinent industry experience.

• Experience with autonomous vehicles or robotics perception systems (tracking, detection, SLAM, scene modeling, etc.).

• Strong background in developing and deploying ML models for perception, localization, or sensor fusion applications.

• Proficiency in PyTorch and contemporary ML tools for training, inference, and optimization.

• Comprehensive understanding of 3D geometry, probabilistic estimation, coordinate transformations, and foundational robotics principles.

• Proven ability to work with large multimodal datasets and create scalable pipelines for processing, labeling, and evaluation.

• Strong software engineering skills in Python and C++, including expertise in algorithms, data structures, testing, debugging, and performance optimization.

• Excellent written and verbal communication skills, with the capability to work effectively within cross-functional teams.

• Bonus: Experience with state estimation methods such as factor graphs, Kalman filtering, nonlinear optimization, or related probabilistic techniques.

• Bonus: Familiarity with distributed computing tools like Ray, Kubernetes, or similar orchestration frameworks.

• Bonus: Knowledge of embedded and real-time constraints for on-vehicle deployment.

• Bonus: Experience in simulation, synthetic data generation, and uncertainty-aware ML modeling.

• Bonus: Contributions to open-source robotics, perception, or ML frameworks.

• Bonus: Understanding of functional safety standards and automotive development processes, including ISO 26262.

🏝️ Benefits

• A competitive compensation package, which includes a bonus component and stock options.

• Full coverage of medical, dental, and vision premiums for full-time employees.

• 401K plan featuring a 6% employer match.

• Flexible scheduling and generous paid vacation (available immediately upon starting).

• AD+D and Life Insurance.

• Potential sign-on bonuses, relocation assistance, and other forms of compensation may be included in the total compensation package.