Pro Apps ML Ecosystem Engineer

Requirements

• GPU compute framework development, maintenance, and optimization
• Proven programming and problem-solving skills
• Good understanding of machine learning fundamentals
• Exemplary written and oral communication skills

Nice to Haves

• GPU compute programming models & optimization techniques
• Machine learning development using one or more ML frameworks (PyTorch, TensorFlow, or JAX)
• Experience with system level programming and computer architecture

What You'll Be Doing

• Analyze developers products and report on their use of the ML API, recommending optimizations, algorithms, and techniques to improve their applications
• Contribute platform enablement and optimizations to key open source projects
• Host developers during in-person engineering sessions
• You will be a key source for all aspects of ML application development, including engineering, documentation, training, and relationship management