AI/ML Engineer

Build AI systems end-to-end: curate data, preprocess, prototype, deploy, and monitor performance in production

Define success metrics for each model or pipeline and iterate to improve accuracy, relevance, and efficiency

Integrate AI features into existing product infrastructure with attention to performance and scalability

Provide guidance on best practices and encourage the adoption of cutting-edge AI/ML techniques

Document research findings and share knowledge across teams

Collaborate with engineers, product managers, designers, and clinical experts to identify where AI can improve user experience and care delivery

Who We Are Looking For

4+ years of experience in AI/Machine Learning with Bachelors or Masters in Computer Science, AI, Machine Learning, or related field, or equivalent demonstrated experience through projects

Empirical approach to problem-solving: you analyze data, models, and errors methodically to drive measurable improvements

Proficient in Python and solid machine learning fundamentals

Built and shipped at least one deep learning project (computer vision, NLP, or RL) from dataset curation through model/pipeline building, evaluation, deployment and continuous improvements through iterations

Experience with cloud platforms (GCP, AWS, or Azure) and databases (SQL, NoSQL)

Clear communicator who balances theoretical knowledge with practical constraints

You are a builder at heart, obsess about the user problem and solutions you work on, and are innately curious to learn more and get better at what you do