Sr Machine Learning Engineer - ML Active Sensor & Camera Models

At Torc, we believe autonomous vehicle technology will transform how we travel, move freight, and do business. Torc has been a leader in autonomous driving since 2007, and now focuses on developing software for automated trucks as part of the Daimler family. Join us to advance your career with a company that helped pioneer autonomous technology and partners directly with a truck manufacturer. What you’ll do: Develop and optimize computer vision, lidar and radar-based ML models. Implement monocular and stereo depth estimation algorithms. Recognize objects, lanes, obstacles, and weather conditions within the driving environment. Enhance perception systems to process multi-modal sensor data effectively. Use data science techniques to analyze model performance, data distributions, and identify corner cases. Contribute to BEV Self-Driving Architectures Design and implement deep learning models for object detection, semantic segmentation, and voxel grid occupancy in BEV frameworks. Integrate BEV representations into end-to-end planning and control pipelines. Contribute to behavior level ML models Design and implement deep learning models for learned actor prediction. Fuse object tracking and actor prediction models. Design and implement learned trajectory planning models. Data Management and Processing Develop efficient pipelines for large-scale data processing and annotation (pseudo-labeling) of sensor data (e.g., LiDAR point clouds, image frames). Implement data augmentation, synthetic data generation, and domain adaptation strategies to improve model robustness. Model Deployment and Optimization Collaborate with conversion and deployment teams to ensure seamless integration. Deploy ML models on edge devices, ensuring real-time performance and resource efficiency. Optimize inference pipelines for embedded and automotive-grade hardware platforms. Cross-functional Collaboration Collaborate with robotics, software, and hardware engineering teams to ensure seamless integration of perception systems. Work with product and operations teams to define performance metrics and improve system reliability. Leadership Contribute to the model development roadmap and provide strategic advice to technical leadership. Mentor and guide junior team members to enhance technical skills and career growth. What you’ll need to succeed: Bachelor’s degree in computer science, data science, artificial intelligence or related field with 6+ years of professional experience or a master’s degree with 4+ years of experience Expertise and applied experience in monodepth and multiview depth estimation Experience in the autonomous vehicle (AV) industry Scientific understanding of machine learning for at least one of the following: 3D BEV space modeling; learned trajectory planning; autonomous driving end-to-end modeling; vision, lidar and radar-based object detection and classification; multimodal multitask machine learning; tracking Experience with understanding data distributions and analyzing long-tail distributions Mastery of Python and PyTorch, with the ability to transition research code to production and deployment-ready standards Proficiency with Ray PhD in machine learning or data science Proficient in writing CUDA kernels and developing custom PyTorch operations Experience with NVIDIA libraries and frameworks (CUBLAS, CuDNN, NPP) Perks of Being a Full-time Torc’r Torc cares about our team members and provides benefits and resources to support health, work/life balance, and career growth. Torc offers: 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 Flexible schedule and generous paid vacation Company-wide holiday office closures AD+D and Life Insurance Hiring range for job opening US Pay Range $177,300 - $212,800 USD

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