AI/ML Engineer (Senior)
Candid Health21 hours ago
Menlo Park, CA, USA +2 moreSenior
Base Salary
$195k - $255k/yr
Responsibilities
- Own outcomes by building AI features that improve internal workflows and customer-facing healthcare automation.
- Identify and drive AI/ML opportunities and define the technical AI strategy.
- Translate prototypes into scalable, deployable AI/ML systems across the customer base.
- Partner with leadership and cross-functional teams to automate claims and revenue cycle workflows.
- Drive the AI roadmap and influence the broader product roadmap.
- Architect AI infrastructure and structure data to support AI development.
- Establish scalable processes for model training, testing, and monitoring while meeting security standards.
Requirements
- Bachelor’s or master’s degree in computer science, computer engineering, mathematics, or a similar field.
- 8+ years of experience building software of significant scale and complexity.
- 5+ years of professional AI engineering experience, preferably applying AI to real-world solutions.
- Experience building systems that leverage ML technologies, including specific NLP models.
- Ability to evaluate tradeoffs among AI solutions and choose between deterministic ML and non-deterministic LLM approaches.
- Strong architecture and systems-design judgment for building scalable, enduring solutions.
- Customer-first, learning-oriented mindset with a willingness to teach others.
- Ability to make sound project-scope and prioritization tradeoffs.
- Clear and concise written and verbal communication skills.
- Experience with Google Cloud Platform, BigQuery, PostgreSQL, Metabase, Terraform, or Python is preferred but not required.
Tech Stack
Categories
About Candid Health
Candid Health builds revenue cycle management software that automates insurance claims, payments, and related back-office workflows for healthcare providers. It sells a platform and services to ambulatory practices and health systems, aiming to increase net collections and reduce cost to collect through AI-driven claim processing and denials management. The company is privately held and headquartered in San Francisco, serving U.S. healthcare organizations across specialties.