Machine Learning Engineer, Data Driven Simulation

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.

Summary:

The Machine Learning Engineer will shape the future of data for autonomous trucking by contributing to our data driven perception simulation pipeline. In this role, you will be responsible for applying state of the art approaches for Neural Rendering in a scalable production setting, contribute to our data workflow and communicate with stakeholders such as machine learning and testing teams which rely on data from our simulation. 

What you'll be doing:

• Implement the latest research advances in Neural Rendering and related domains.
• Advance modern simulation techniques by using state-of-the art ML approaches and computer vision techniques
• Support implementing a neural rendering framework that allows to scale perception simulation
• Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks
• Develop a data workflow for the input and output to our pipeline

What you'll need to succeed:

• BS or MS in computer vision, machine learning, computer science, computer engineering or related fields
• 3+ years of software development experience or a PhD in machine learning, Computer Vision, or related field
• Strong experience in Python and science libraries like Numpy, SciPy, Pandas and Matplotlib
• Experience with one or more deep learning framework such as PyTorch or TensorFlow
• Expert knowledge of the principles, algorithms and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc.
• Experience with 3D Computer Vision or rendering algorithms
• Experience in applying machine learning towards rendering, 3D computer vision or related field, preferably multiple projects in these core areas
• Track record of successfully building and shipping products or open-source projects

Bonus Points!

• Publication record in Computer Vision, Computer Graphics and Machine Learning conferences (e.g. SIGGRAPH, CVPR, NeurIPS, ICCV, ICLR, ICML ...) is a plus
• Kanban, Scrum or Scaled Agile development
• Experience developing sensor models, 3D simulation environments, rendering and ray tracing in a perception simulation environment (i.e., game engine or other similar simulation environment)
• Software and system troubleshooting and problem-solving with specific focus on system-level analysis, fault isolation and identification
• Experience with C++, C#, ROS for autonomous SW development and simulation tooling

Perks of Being a Full-time Torc’r  

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:     

• 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 

 

Hiring Range for Job Opening US Pay Range$153,200—$183,800 USD

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.