Staff Engineer - AI/ML

About Candid

At Candid Health, we're on a mission to revolutionize healthcare by solving one of its most complex and costly problems: the billing and revenue cycle management (RCM) process. The healthcare system has long been burdened by slow, inefficient workflows that waste valuable resources, leaving providers with less time and money to focus on patient care. With our cutting-edge revenue cycle automation platform, we are transforming this space through an intelligent, data-driven approach that simplifies billing, enhances claims processing, and eliminates administrative waste.

The Role

As our first and founding AI hire, this person will define and drive our strategy around how to bring Artificial Intelligence & Machine Learning to the forefront of healthcare automation. This is an opportunity to get in at the ground floor of designing and building something exciting and new - generating immense value to both medical providers and their patients. This person will be responsible for translating compelling initial prototypes into a foundational set of differentiated, high impact ML/AI use cases throughout our platform and across our customer base.

We’re looking for a tastemaker and visionary (staff-level or higher) who can effectively navigate the complexities of our problem space – medical billing– and leverage their technical expertise to identify opportunities where AI- & ML-based solutions can drive impactful, long term business outcomes. As a key strategic investment for the company and product at a critical moment in our growth, this is a high-visibility, high-ownership role where you’ll be seen as our in-house AI/ML expert and report directly to our Head of Engineering.  

What You’ll Do

• Expansively Own Outcomes & Apply AI to Real Problems: Candid’s mission is to use technology to impact healthcare outcomes. The innovations we make have the potential to change patient experience in a meaningful way. You are responsible for Candid delivering on outcomes for both internal teams and external customers through, but not limited to, building AI features into Candid’s platform. 

• Define & Drive our Technical AI Strategy: Define strategic vision for AI at Candid; identify and drive opportunities on when, where and which AI/ML techniques can deliver long-term business value. Research industry best practices, leverage state-of-the-art technologies and tools to design systems and support the necessary outcomes in a forward looking and responsible manner. Take compelling initial prototypes we’ve built and ensure we have a strong foundation to scale and deploy them across our customer base.

• Scale and Unlock New & Existing Products: You will work closely with leadership and cross-functional teams to take ownership of some of our most complex technical challenges: using AI to automate and scale processes like claim submission, resubmission, and workflow optimization. You will drive Candid’s AI roadmap and directly influence our product roadmap across the board to enable Candid’s customers to optimize their RCM operations at scale.

• Build AI Infrastructure: Architect the infrastructure that will allow us to leverage AI across every facet of our product. Structure and format our data to better support AI development. Establish rigorous processes for model training, testing, and monitoring—ensuring they are scalable, extensible, and meet our high expectations for security standards.

• Collaborate with Leadership, Delivery, Engineering, Product, and Customers: Collaborate with leadership and other stakeholders to understand Candid’s AI needs. Work with product and engineering to understand the long-term product strategy and broader technical architecture. 

Who You Are

• Bachelors or Masters of Science in Computer Science, Computer Engineering, Math or other similar degree.

• 10+ years of experience building software of significant scale and complexity.

• 5+ years of AI engineering experience in a professional setting, preferably applying it to real world solutions.

• 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. 

• You have well-informed opinions on AI development, utility, and applications.

• 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 have excellent technical vision; you know the right architecture and patterns to build something of enduring value and scale.

• You have a customer-first and learner’s mindset, and value teaching others.

• You make the right trade-offs when considering project scope, which corners are worth cutting, and which are not.

• 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.

Pay Transparency

The estimated starting annual salary range for this position is $260,000 to $322,000 USD. The listed range is a guideline from Pave data, and the actual base salary may be modified based on factors including job-related skills, experience/qualifications, interview performance, market data, etc. Total compensation for this position may also include equity, sales incentives (for sales roles), and employee benefits. Given Candid Health’s funding and size, we heavily value the potential upside from equity in our compensation package. Further note that Candid Health has minimal hierarchy and titles, but has broad ranges of experience represented within roles.