AI/ML Engineer

Join Candid Health as a Senior Artificial Intelligence/Machine Learning Engineer. In this role, you will be at the forefront of healthcare automation, translating initial prototypes into impactful ML/AI use cases. You will drive Candid's AI strategy, scale products, and build AI infrastructure. The ideal candidate has 5+ years of AI engineering experience, 8+ years of software development experience, and a strong understanding of ML technologies.

• Expanding the use of Artificial Intelligence and Machine Learning in healthcare automation, translating prototypes into high-impact use cases.
• Driving the technical AI strategy, identifying opportunities for AI/ML techniques to deliver business value.
• Building AI infrastructure, architecting systems to leverage AI across the product, and establishing processes for model training and monitoring.

• We’re looking for a tastemaker and strong hands-on builder who can effectively navigate the complexities of our problem space – medical billing– and leverage their technical expertise to deliver strategic AI- & ML-based solutions leading to impactful business outcomes
• You have a customer-first and learner’s mindset, and value teaching others
• You’re a clear and concise communicator; you enjoy the challenge of explaining complicated ideas in simple terms, both in-person and in writing
• Experience with the technologies we currently use is a plus, but by no means required: Google Cloud Platform, BigQuery, PostgreSQL, Metabase, Terraform, Python
• 5+ years of AI engineering experience in a professional setting, preferably applying it to real world solutions
• 8+ years of experience building software of significant scale and complexity
• You know the right architecture and patterns to build something of enduring value and scale
• You make the right trade-offs when considering project scope, which corners are worth cutting, and which are not
• Bachelors or Masters of Science in Computer Science, Computer Engineering, Math or other similar degree
• You’ve built systems that leverage ML technologies (e.g. built or used specific NLP models), and know what tools, frameworks, and libraries to use
• You understand the pros, cons, and tradeoffs of leveraging various AI solutions across a wide variety of use cases, and can help us make informed decisions around when to use deterministic (ML) vs. non-deterministic (LLM) approaches to deliver the best ROI, efficiency improvements, & cost savings