Machine Learning Engineer, AMP

• Master’s degree in Computer Science/Machine Learning or similar, or equivalent combination of technical education and work experience
• 4+ years' experience writing production-level code in python
• 4+ years of experience implementing statistical models in production environments
• Proficiency with professional software engineering practices; including coding standards, code reviews, source control management, build processes, testing, and operations
• Strong familiarity with PyTorch
• Strong familiarity with experiment design and experiment execution
• Research fluency with a deep learning domain

Desirable

• AMP Robotics is hiring a Machine Learning Engineer reporting to the Engineering Manager of Perception to focus on developing our deep learning and other machine learning models and shipping them to production. AMP doesn’t just do machine learning, we are driven forward by it
• Our core technology revolves around deep-learned models applied to robotics domains, and we are always striving to improve our performance
• In pursuit of this, AMP is looking for a highly skilled individual to join our machine learning team and aid in building out cutting edge computer vision technology
• In this role, you would be an individual contributor on our perception team, working on deep learning and computer vision research and development projects to help us implement state of the art deep learning techniques, and helping to develop new applications by working hands-on with data, modeling, and evaluation
• You would aid in bringing models from ideation all the way through to production, and help us to maintain our technological edge
• Experiment with modern neural network architectures or techniques driven by research publications
• Design and implement machine learning perception solutions in new domains
• Design and execute experiments to validate R&D deep learning approaches
• When experiments have positive results, design a path to production to deliver impact to our facilities
• Collaborate with AI Data Team project managers, ML modeling engineers, and Cloud infrastructure engineers
• Serve as a subject matter expert for experiment design and statistical modeling for the Software organization, applying these skills to non deep learning projects when relevant
• Help us support and improve our ML infrastructure