Tech Lead Manager, Machine Learning Perception

Rivianis on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build and the curious courageous souls we seek to attract.

As a company we constantly challenge whats possible never simply accepting what has always been done. We reframe old problems seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse but our team shares a love of the outdoors and a desire to protect it for future generations.

As a member of our Autonomy organization you will guide the strategy architecture and deployment of machine learning models for our vehicles perception. These models support autonomous driving features and in-vehicle experiences by enabling environmental understanding. Your work will directly impact the core functionalities of our autonomous systems.

Key areas of impact include:

• Technical Strategy & System Architecture: Define and drive the technical vision architecture and scaling roadmap for perception systems ensuring they meet autonomous driving demands and champion new technologies
• Perception Model Lifecycle Management: Lead the end-to-end development of scalable ML models for critical perception tasks (object detection tracking scene understanding mapping) including MLOps data pipelines and optimization for robust onboard deployment
• Team Leadership & Mentorship: Build mentor and lead a high-performing team of machine learning engineers fostering a culture of innovation technical excellence and continuous improvement
• Cross-Functional Collaboration & Integration: Partner effectively with teams across the autonomy stack (e.g. prediction planning simulation hardware ML infrastructure) to deliver seamlessly integrated and high-performing autonomous features

• MS or PhD in Computer Science Robotics Machine Learning Electrical Engineering or a related field
• Experience (typically 8 years post-graduation) in machine learning computer vision or robotics with significant work in perception for autonomous systems
• Experience (typically 3 years) in a technical leadership or management role leading engineering teams on complex projects
• Technical depth in machine learning deep learning architectures (e.g. CNNs Transformers) and computer vision algorithms
• Experience developing and deploying perception algorithms (e.g. object detection segmentation tracking SLAM multi-sensor fusion) in real-world applications
• Proficiency in Python and C
• Experience with deep learning frameworks (e.g. PyTorch TensorFlow) and MLOps tools/platforms
• Communication interpersonal and collaboration skills for working in a dynamic cross-functional environment

Equal Opportunity

Rivian is an equal opportunity employer and complies with all applicable federal state and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race color religion national origin ancestry sex sexual orientation gender gender expression gender identity genetic information or characteristics physical or mental disability marital/domestic partner status age military/veteran status medical condition or any other characteristic protected by law.

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