AI/ML Engineer (Senior)

Candidhealth
San Francisco +2 more
On-site

Who this role is best for

Best suited to senior AI/ML engineers with a strong background in healthcare and a proven ability to scale complex systems.

Best fit for

  • Senior AI engineers with 8+ years of experience in building scalable systems and applying ML to real-world challenges.
    — “8+ years of experience building software of significant scale and complexity.”
  • Candidates who have worked on AI/ML systems in domains like medical billing and possess a learner’s mindset to teach others.
    — “You have a customer-first and learner’s mindset, and value teaching others.”
  • Individuals who can translate prototypes into high-impact, scalable AI use cases with a focus on business outcomes.
    — “You’ll be empowered to bring Artificial Intelligence & Machine Learning to the forefront of healthcare automation.”

Things to consider

  • The role demands a deep understanding of deterministic and non-deterministic AI approaches for optimal ROI.
    — “understand the pros, cons, and tradeoffs of leveraging various AI solutions”
  • Candidates should be prepared to influence product strategy and work with cross-functional leadership.
    — “drive Candid’s AI roadmap and directly influence our product roadmap across the board”

How to stand out

  • Highlight experience in deploying AI/ML models in production environments with measurable business impact.
    — “translate compelling initial prototypes into a foundational set of differentiated, high impact ML/AI use cases”
  • Emphasize your ability to architect scalable AI infrastructure and manage data pipelines.
    — “Architect the infrastructure that will allow us to leverage AI across every facet of our product.”
  • Showcase your ability to explain complex AI concepts clearly and concisely to stakeholders.
    — “You’re a clear and concise communicator; you enjoy the challenge of explaining complicated ideas in simple terms”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • translate prototypes into high impact ML/AI use cases
  • innovate and drive technical AI strategy
  • scale and unlock new products
  • build AI infrastructure
  • structure and format data for AI development
Typical background
AIMLhealthcare

Skills & requirements

Required

AIMLData-driven ApproachSystem AutomationClaim ProcessingWorkflow OptimizationAI InfrastructureModel TrainingTestingMonitoringSecurity Standards

Preferred

NLPComputer VisionTime-series AnalysisHealthcare Billing

Stack & domain

AIMLRevenue Cycle AutomationClaim SubmissionResubmissionWorkflow OptimizationAI InfrastructureML TechnologiesNLPData PipelinesInnovationTechnical ExpertiseStrategic ThinkingCollaborationProblem-solvingLeadershipHealthcareBillingRCMAI EngineeringML EngineeringData Science

About the role

Original posting from Candidhealth via Ashby

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.

WHO YOU ARE

  • Bachelors or Masters of Science in Computer Science, Computer Engineering, Math or other 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.
  • 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.
  • 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 $195,000 to $255,000 USD. The listed range is a guideline from Pave https://www.pave.com/ 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.

Source: Candidhealth careers (Ashby)

Similar roles

More roles at Candidhealth