Torc Robotics

Leading autonomous vehicle technology since 2007, Torc develops automated Level 4, Class 8 trucks with Daimler.

Senior ML Engineer – Offline Perception

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 501-1,000Since 2007H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

109 days ago

Salary

$156K - $234K / year

Bachelor Degree6 yrs expEnglishCloudDockerPandasPythonPy TorchRay

Job Description

• Design, implement, test and deploy offline object detection, tracking and fusion modules to automatically create annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars) • Demonstrated project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution. • Stay up to date with the latest developments in AI and ML for autonomous driving. • Independently develop offline perception models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining. • Documentation of created applications. • Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows. • Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. • Measure and track auto labeling quality to meet internal customer requirements. • Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner. • Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety. • Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes. • Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members.

Job Requirements

  • Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
  • Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains and owns team technical solutions and drives consensus. Mentors and guides engineers within the group.
  • Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 6+ years of experience OR;
  • Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 3+ years of experience OR;
  • Required Qualifications (some combination of the following skills):
  • Active Learning & Pseudo-labeling - Computer Vision, Deep Learning, Model training.
  • Two of the following: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, BEV.
  • Scaled ML Operations (MLOps) and Tooling – ML Frameworks, experiment tracking, model registry, MLFLow, Weights and Biases, ML Metrics and Evaluation / Quality.
  • Distributed machine learning frameworks - PyTorch, Lightning, Ray.
  • Model Data Curation - Parquet data processing (PyArrow, Daft, Pandas, etc).
  • Development Tools & Eco-System (at scale) - Proficiency in Python software development. Also, VDI and cloud-based development environments, CI Systems (GitHub Actions), and Docker.

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

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