AI / ML Engineer

• Build AI systems end-to-end including data curation, preprocessing, prototyping, deployment, and production monitoring
• 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 adoption of cutting-edge AI and ML techniques across the team
• 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

Requirements

• 4 or more years of experience in AI and machine learning
• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field; or equivalent demonstrated experience through projects
• Proficient in Python with solid machine learning fundamentals
• Hands-on experience building and shipping at least one deep learning project in computer vision, NLP, or reinforcement learning, from dataset curation through deployment and iteration
• Experience with cloud platforms such as GCP, AWS, or Azure, and databases including SQL and NoSQL
• Empirical, data-driven approach to problem-solving with attention to measurable improvement
• Clear communicator who balances theoretical knowledge with practical constraints
  • Curious, builder mindset with a strong focus on user problems and solutions