Applied AI Engineer
LuminaiEnterprise Software company
San Francisco, United StatesSenior
Craft Ventures
General Catalyst
Y Combinator
Underscore VC
Moxxie Ventures
Y Combinator Continuity Fund
Data & AI
About the role
TL;DR
Optimize AI benchmarks and improve evaluation frameworks.
- •As an Applied AI Engineer, you will optimize key internal AI benchmarks and improve evaluation frameworks.
- •Key Responsibilities Design experiments and test ideas to optimize key internal AI benchmarks Design and improve evaluation frameworks to accelerate the speed and direction of experimentation Train, fine-tune, and optimize machine learning models Collaborate and contribute on the core product development Set up observability and monitoring systems Requirements Proven track record of shipping high-quality code Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field Solid fundamentals in algorithms, data structures, system design Attention to detail and a first-principles thinking towards real world deployment of intelligent systems Experience shipping ML models to production
Required skills
PythonTensorFlowscikit-learnKubernetesCI/CDDocker
Nice-to-have skills
PyTorchCI/CDKubernetesDocker
Domain expertise
healthcare
Tech stack
PythonTensorFlowPyTorchscikit-learnKubernetesCI/CDDocker