AI/ML Engineer
Senior AI/ML engineer at Candid Health (San Francisco, on-site) building AI-powered revenue cycle automation for medical billing — designing and scaling ML/LLM features across claims workflows and building model training, testing, and monitoring infrastructure. Stack mentions include Python, GCP, BigQuery, PostgreSQL, and Terraform.
- Compensation
- $195K–$255K / yr
- Location
- San Francisco
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- Bachelors or Masters of Science in Computer Science, Computer Engineering, Math or similar degree
- 8+ 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
- Experience building systems that leverage ML technologies (e.g. built or used specific NLP models) and knowledge of relevant tools, frameworks, and libraries
- Understanding of tradeoffs of various AI solutions across use cases, including deterministic (ML) vs non-deterministic (LLM) approaches
- Knowledge of the right architecture and patterns to build something of enduring value and scale
- Customer-first and learner's mindset, values teaching others
- Ability to make the right trade-offs when considering project scope
- Clear and concise communicator, in-person and in writing
Nice to have
- Experience with Google Cloud Platform, BigQuery, PostgreSQL, Metabase, Terraform, Python
Full description
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 an AI/ML Engineer at Candid Health, you’ll be empowered 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. You 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 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.
What You’ll Do
- Expansively Own Outcomes & Apply AI to Real Problems: Candid’s mission is to use technology to rebuild the backbone of American healthcare. The innovations we make have the potential to change both medical providers and 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.
- Innovate and Drive our Technical AI Strategy: Identify and drive opportunities on when, where and which AI/ML techniques can deliver 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: Partner with leadership and cross-functional teams to automate and scale products and workflows with the most technical complexity, such as 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.