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 Bachelor's or Master's 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.