Staff Engineer (m/f/d), Generative AI

Overview: 

Are you ready to revolutionize the automotive industry with the next wave of artificial intelligence? The Advanced Engineering team at TORC is paving the way for the next generation of autonomous vehicles. As we harness the power of end-to-end neural networks and modular designs, we're looking for a skilled and experienced Generative AI Engineer. In this role, you will be at the forefront of innovation, applying your expertise to develop advanced generative models that enhance various aspects of autonomous driving, including scenario generation, sensor modelling, and behavior generation.  

Key Responsibilities: 

• Develop, refine, and optimize foundational models for our autonomous vehicle systems, leveraging the extensive TORC database. 
• Collaborate with the deep learning specialists and data teams to ensure seamless integration of foundational models with our innovative AV stacks. 
• Analyze and extract valuable insights from TORC's database, translating these into actionable enhancements for our foundational models. 
• Foster a continual feedback loop with other teams, ensuring that the models are adaptive, robust, and efficient for real-world AV applications. 
• Maintain an up-to-date knowledge of advancements in machine learning and foundational model development, ensuring TORC remains at the forefront of AV innovation. 
• Advocate for best practices in model development, data management, and optimization, ensuring the highest standards of quality and performance. 
• Stay abreast of the latest developments in differentiable optimization, ensuring our AV stack remains at the forefront of innovation. 

Qualifications: 

• BS, MS, or PhD in Machine Learning, Computer Science, Robotics, or related fields. 
• Proven expertise in developing and optimizing foundational models for complex systems, preferably within the domain of autonomous vehicles or robotics. 
• Hands-on experience with large-scale data analytics, database management, and data-driven model development. 
• Proficiency in Python, ROS, and familiarity with major deep learning frameworks such as PyTorch or TensorFlow. 
• Exceptional analytical and problem-solving skills, with a knack for translating data insights into actionable model improvements. 
• Strong collaboration and communication skills, enabling efficient teamwork across various departments. 

Bonus Points! 

• Experience working with databases specific to autonomous vehicle systems or similar domains. 
• Scholarly publications related to foundational model development, data analytics, or large-scale machine learning n high tier conferences as CVPR, ICCV, ICRA, IROS, NeurIPS ... 
• Prior experience with end-to-end neural network designs or modular autonomous driving perception components. 
• Knowledge of state-of-the-art strategies for model deployment and optimization in real-world settings.