Senior, ML Engineer - 3D Reconstruction

Torcrobotics; Michigan; On-site; USD 199,200 - 298,800; Full time

Benefits offered by this job

Competitive compensation package including bonuses

100% paid medical, dental, and vision premiums

401K plan with 6% employer match

Generous paid vacation and flexible scheduling

Life and AD+D insurance

Job summary

Torcrobotics, located in Michigan, seeks a skilled professional to lead AI advancements in autonomous vehicles. You will be involved in designing and implementing object detection and tracking modules, guiding less experienced team members, and ensuring the quality of automated systems.

Candidates should have extensive experience in robotics or a related field, with a solid understanding of machine learning frameworks like PyTorch. Your contributions will significantly improve operational efficiency in freight transportation.

Qualifications

• 6+ years of experience in Computer Science, Robotics, or Electrical Engineering.
• Expertise in developing offline perception models.
• Ability to guide less experienced team members.

Responsibilities

• Design and implement offline object detection and tracking modules.
• Manage projects and guide team members in project execution.
• Stay updated with AI and ML advancements for autonomous driving.

Skills

Active Learning & Pseudo‑labeling

Computer Vision

Deep Learning

Model Training

2D/3D Object Detection

Tracking

Sensor Fusion

Semantic Segmentation

Scaled ML Operations

Education

Bachelor's Degree in a relevant field

Master's Degree in a relevant field

Tools

Python

PyTorch

Docker

GitHub Actions

Job description

About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.

Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet The Team

Pseudo-Labeling team's goal is to create high quality annotations on sensor data (images, point clouds). The annotations include 2D, 3D bounding boxes, classes, trajectories, lane lines, segmentations, depths etc. The annotations are then used by different downstream users, for example, perception teams use it to train various models and simulation teams use it for generating new data.

What You’ll Do

• 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.

What You’ll Need to Succeed

• 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.

Bonus Points

• Data operations and management at scale - Schema design, AWS storage and processing infra, vector databases / LanceDB, file formats (MCAP, parquet, etc).
• Data Visualization - Integration with tooling such as OpenGL, 3.js, foxglove, 51, tableau.
• Cloud Development – Python (proficient level), Terraform, AWS Managed Services (eg S3, ECS, Lambda, Dynamo, Step Functions, Athena).
• Cloud-based orchestration and resource management - AWS Hyperpods, Anyscale, Etc. Model Inference Orchestration.

Perks of Being a Full‑time Torc’r

• 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.

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job‑related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign‑on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Hiring Range for Job Opening

US Pay Range

$199,200- $298,800

Job ID: 102399