Senior Software Engineer – ML Data Delivery

Job not on LinkedIn

🔥 0 minutes ago

🚗 Michigan – Remote

🚗 Michigan – Remote

💵 $160.8k - $193k / 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 tooling and pipelines for internal quality control and issue identification of pseudo-labeled data • Provide statistical support and report on pseudo-label quality, coverage, and pipeline health to internal stakeholders and leadership • Support secondary data selection (virtual packaging) to curate and feed on-demand data to online model training • Support the build-out of the ML data delivery system for on-demand online perception model training • Improve and optimize pipelines across the pseudo-labeling and data delivery stack • Serve as project lead and guide less experienced team members in project execution • Stay current with developments in offline perception, data pipeline engineering, and ML data infrastructure for autonomous driving • Develop tools, services, and algorithms using disciplined software development processes, version control, and documentation • Define and implement ingestion, data preparation, curation, and governance for large datasets supporting analytics and ML training workflows • Assess current capabilities, identify improvement areas, and propose solutions aligned with strategy and operations • Produce information products supporting visualization and data accessibility • Evaluate technical advances to improve productivity and quality, reduce flow times, and enhance operational surety • Develop guidelines and standards for data quality control, data delivery systems, deployment, and related processes • Provide technical guidance, leadership, coaching, and mentoring to team members

🎯 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 • Highly skilled and proficient in the discipline; able to conduct complex, important work with minimal supervision and independent judgment • Ability to drive alignment across team interfaces, own technical solutions, drive consensus, and mentor engineers • Familiarity with the offline perception stack and pseudo-label data production best practices • Strong software engineering background building and operating data pipelines and services at scale • Statistical analysis and reporting skills, translating data quality findings into actionable insights • Experience with scaled MLOps and tooling, ML frameworks, experiment tracking, model registries, MLflow, Weights and Biases, and ML metrics/evaluation/quality • Experience with model data curation and Parquet data processing using PyArrow, Daft, Pandas, or similar • Proficiency in Python software development • Experience with VDI and cloud-based development environments, CI systems such as GitHub Actions, and Docker • Experience with distributed data processing and/or ML frameworks such as PyTorch, Lightning, Ray, or similar • Experience with large-scale data delivery systems and associated quality control is a bonus • Pseudo-labeling experience is a bonus

🏖️ 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 • Generous paid vacation available immediately after start date • Company-wide holiday office closures • AD+D and Life Insurance