Machine Learning Engineer II – Behaviors, Prediction,

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
Torc's Autonomy Applications software utilizes cutting-edge deep learning techniques to perceive the vehicle's environment, predict the movements of other vehicles, and execute accurate driving decisions. We are actively seeking highly experienced senior machine learning engineers to join our model development department. This is an exceptional opportunity for you to have a significant impact on the future of the autonomous vehicle industry by leveraging AI.

What You'll Do
Develop and optimize behavior level ML models

• Implement model-architectures for Agent Prediction and Ego Motion Planning.
• Perform fine-tuning of ML models for motion prediction and planning.
• Develop metrics and evaluation pipelines related to the motion prediction and planning tasks.
• Utilizing data science techniques to analyze model performance, data distributions, and identify corner cases.

Contribute to framework and infrastructure for Behavior level ML models

• Develop efficient pipelines for large-scale data pre-processing and analysis.
• Implement data augmentation, synthetic data generation, and domain adaptation strategies to improve model robustness.
• Contribute towards behavior simulation infrastructure.

Model Deployment and Optimization

• Collaborating with conversion and deployment teams to ensure seamless integration.
• Deploy machine learning models on edge devices, ensuring real-time performance and resource efficiency.
• Optimize inference pipelines for embedded and automotive-grade hardware platforms.

Cross-functional Collaboration

• Collaborate with robotics, software, and hardware engineering teams to ensure seamless integration of motion prediction and planning systems.
• Work with product and operations teams to define performance metrics and improve system reliability.

What You'll Need To Succeed

• Bachelor's degree in computer science, data science, artificial intelligence or related field with 5+ years of professional experience or a master's degree with 2-3+ years of experience

• Scientific understanding of machine learning for at least one of the following

• 3D BEV space modeling

• Actor prediction
• Learned trajectory planning
• Autonomous driving end to end modeling
• Multimodal multitask machine learning
• Calibration, odometry, localization

• Object Detection & Tracking

• Experience with understanding data distributions and analyzing long tail distributions

• Mastery of Python and PyTorch, with the ability to transition research level code to production and deployment ready standards
• Experience with understanding data distributions and analyzing long tail distributions
• Mastery of Python and PyTorch, with the ability to transition research level code to production and deployment ready standards

Knowledge of English is required since the selected candidate will need to collaborate daily with English-speaking colleagues in the United States and work with technical documentation written exclusively in English.

Bonus points

• PhD in machine learning or data science
• Proficiency with Ray.
• Proficiency with Hydra.
• Proficient in writing CUDA kernels and developing custom PyTorch operations.

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.

Job ID: R-102374