Machine Learning Engineer, Numbers Station

• 3+ years of professional experience with machine learning, or 1+ years of professional experience with machine learning with an advanced degree in a relevant field
• Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, TensorFlow, transformers), and an obsession with thorough ML evaluation
• Strong coding skills and knowledge of ML techniques and algorithms
• Ability to work in a fast-paced environment and navigate ambiguity
• Strong technical communication skills
• Self-motivation, positive attitude, and a growth mindset

Desirable

• As a Machine Learning Engineer, you'll engage new ML use cases through hands-on customer problems and generalize learnings into the core Numbers Station platform
• With a combination of strong programming skills and a user-focused mindset, you will have full ownership and responsibility for building, shipping, and maintaining innovative new functionality across the stack
• Improve accuracy of our production machine learning systems by applying the latest published research and your own creative solutions, including but not limited to prompt tuning, and guarding against hallucinations
• Own end-to-end accuracy and performance for our machine learning solutions
• Stay up to date on the latest research publications, and rapidly assess the latest results for production and scalability potential
• Work closely with product leadership and customers on training datasets and error analysis