Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Autonomous Vehicles, RoboticsIndustries
Requirements
- Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus 6+ years of experience OR Master’s Degree in the same fields plus 3+ years of experience
- Highly skilled and proficient in discipline; conducts complex work under minimal supervision with wide latitude for independent judgment
- Scope of Influence: Drives alignment across team interfaces, designs/maintains/owns team technical solutions, drives consensus, mentors and guides engineers
- 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 - Py
Responsibilities
- 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)
- Demonstrate 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
- Provide technical guidance or business process expertise, technical leadership, coaching and mentoring to team members
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What are the main responsibilities of this Senior ML Engineer role?
You'll design, implement, test, and deploy offline object detection, tracking, and fusion modules for automatic annotations on sensor data, lead projects guiding team members, develop perception models using disciplined processes, manage large datasets, and provide technical leadership and mentoring.
What skills and experience are required for this position?
Candidates need to be highly skilled and proficient, capable of conducting complex work under minimal supervision with independent judgment, and able to drive alignment across teams.
What is the team structure for this role at Torc Robotics?
This role is on the Pseudo-Labeling team, which creates high-quality annotations like 2D/3D bounding boxes, trajectories, lane lines, and segmentations on sensor data for use by perception and simulation teams.
Is this a remote position or does it require office work?
This information is not specified in the job description.
What is the salary or compensation for this Senior ML Engineer role?
This information is not specified in the job description.
Torc Robotics
Develops autonomous driving technology for trucks
About Torc Robotics
Torc Robotics develops software systems for self-driving trucks, focusing on Level 4 autonomous driving technology that allows trucks to operate without human intervention in specific conditions. Their technology enhances road safety and meets the logistics industry's growing demands. Torc Robotics partners with major truck manufacturers, like Daimler Trucks, and collaborates with companies such as Luminar Technologies to integrate advanced sensors into their systems. They generate revenue by selling their software to fleet operators and truck manufacturers, while also providing ongoing support and updates. The company's goal is to improve efficiency and safety in freight transportation through their autonomous solutions.
Blacksburg, VirginiaHeadquarters
2005Year Founded
M_AND_ACompany Stage
Robotics & Automation, Automotive & TransportationIndustries
501-1,000Employees
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
Risks
Increased competition from companies like Waymo and Aurora could impact market share.
Expansion into new markets involves significant operational costs and regulatory risks.
The strategic partnership with Daimler may limit alliances with other truck manufacturers.
Differentiation
Torc Robotics specializes in self-driving truck technology, focusing on Level 4 autonomy.
The company has a strategic partnership with Daimler Trucks for autonomous vehicle development.
Torc's modular products enable rapid integration of robotic systems for various applications.
Upsides
Torc is expanding operations to Texas and Michigan, enhancing market presence.
The company won the 2024 Top Software & Tech Award in the Robotics category.
Torc's focus on autonomous Class 8 trucks addresses aging workforce and rising demand.
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