Senior ML Engineer – Tracking

Job not on LinkedIn

🔥 23 minutes ago

🇺🇸 United States – Remote

💵 $177.3k - $212.8k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Torc Robotics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

🚘 Automotive

📦 Logistics

🚗 Transport

Automotive • Logistics • Transport

Torc Robotics is an innovative company focused on commercializing self-driving trucks for long-haul freight transportation. As an independent subsidiary of Daimler Truck, the company is developing autonomous technology, primarily focusing on the Freightliner Cascadia. Torc is committed to safe transportation, continuously improving its solutions through rigorous testing and integration of industry-leading sensors. It collaborates with fleet management companies to deploy real-world autonomous solutions, aiming to lead the industry in autonomous trucking.

📋 Description

• Design, develop, and deploy production ML models for multi-object tracking, including association, learned pose and kinematic estimation, 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 tracking and sensor fusion algorithms for robust vehicle pose and kinematics • 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 tracking 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

🎯 Requirements

• 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 perception systems (tracking, detection, SLAM, scen modeling, ect.) • 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: Experience with state estimation techniques such as factor graphs, Kalman filtering, nonlinear optimization, or related probabilistic estimation methods • Bonus: Familiarity with distributed computing tools such as 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: Familiarity with functional safety standards and automotive development processes, including ISO 26262

🏖️ Benefits

• A competitive compensation package that includes a bonus component and stock options • 100% paid medical, dental, and vision premiums for full-time employees • 401K plan with a 6% employer match • Flexibility in schedule and generous paid vacation (available immediately after start date) • AD+D and Life Insurance • Potential sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package