Requirements

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development.
• 3 years of experience designing, building, and operating large-scale Machine Learning infrastructure and distributed systems.

Nice to Haves

• Master's degree or PhD in Computer Science or a related technical field.
• Experience with software development in C++ or Python, with a strong background in systems programming.
• Experience in architecting scalable machine learning pipelines, from data set management to automated model training.
• Experience in performing deep-dive forensics on distributed systems to root-cause failures across multiple languages and frameworks.

What You'll Be Doing

• Advance the state of the art in preventive health care by predicting health risks based on fitness and medical data.
• Partner with research teams to bring machine learning research into products.
• Build machine learning infrastructure for large-scale model training and evaluation.
• Improve and maintain infrastructure for smooth operation and minimal toil.
• Build data pipelines for creating large-scale machine learning datasets of highly sensitive fitness and medical data.
• Drive platform unification and simplicity.