Senior ML Engineer – 3D Reconstruction

Job not on LinkedIn

🔥 0 minutes ago

🚗 Michigan – Remote

🚗 Michigan – 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, implement, test and deploy offline 3D reconstruction, lane line detection, and automatic mapping/map creation modules using logged camera, lidar, radar, and GPS/IMU sensor data • Build and refine lane line annotation pipelines using machine learning models to automate and scale map creation • Develop and improve pose estimation algorithms for localization, sensor fusion, and 3D scene reconstruction • Lead projects and guide less experienced team members • Independently develop offline perception and mapping models and algorithms using disciplined software development processes • Define and implement ingestion, preparation, curation, and governance of large, multifaceted datasets • Assess capabilities and propose improvements aligned with strategy and operations • Measure and track auto-labeling and map-creation quality • Produce information products supporting visualization and data accessibility • Evaluate technical advances that improve productivity, quality, flow times, and operational surety • Develop guidelines and standards for machine learning models, deployment, and related processes • Provide technical guidance, leadership, coaching, and mentoring

🎯 Requirements

• Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering, or related technical field plus competencies typically acquired through 6+ years of experience, OR Master’s Degree in a related technical field plus competencies typically acquired through 3+ years of experience • Experience in lane line annotation creation or automatic mapping/map creation • Familiarity with lane line detection and creation machine learning models • Familiarity with pose estimation • Experience with active learning, pseudo-labeling, computer vision, deep learning, and model training • Experience with at least two of: 2D/3D object detection, tracking, sensor fusion, semantic segmentation, SLAM, BEV • Experience with scaled MLOps and tooling, including ML frameworks, experiment tracking, model registry, MLflow, Weights and Biases, and ML metrics/evaluation/quality • Experience with distributed machine learning frameworks such as PyTorch, Lightning, and Ray • Model data curation and Parquet data processing using PyArrow, Daft, Pandas, or similar tools • Proficiency in Python software development • Experience with VDI and cloud-based development environments, CI systems such as GitHub Actions, and Docker • Ability to conduct complex work under minimal supervision and exercise independent judgment • Ability to drive alignment, own technical solutions, drive consensus, and mentor engineers • PPK/RTK GPS experience and GIS experience are bonus qualifications

🏖️ 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) • Company-wide holiday office closures • AD+D and Life Insurance • Potential sign-on payments, relocation, and other forms of compensation depending on the position offered