Senior Artificial Intelligence/Machine Learning Engineer

Candid Health; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

Candid Health is seeking an experienced AI Engineer to translate prototypes into scalable ML solutions that power healthcare automation across our platform and customer base.

You will own AI strategy, build scalable infrastructure, and work with cross-functional teams to optimize RCM workflows and automate critical processes using ML/NLP techniques.

Qualifications

• 5+ years AI engineering in a professional setting.
• 8+ years building software at scale and complexity.
• Bachelor's or Master's in Computer Science, Computer Engineering, Math or related field.
• Experience with ML technologies and NLP models.

Responsibilities

• Translate prototypes into a scalable AI/ML foundation within Candid Health's platform.
• Define and drive AI strategy and roadmap across products and workflows.
• Build AI infrastructure with secure, scalable data pipelines and model governance.

Skills

AI engineering

Machine Learning

Software architecture

Cloud platforms

Python

BigQuery

PostgreSQL

Terraform

Metabase

Communication

Customer-focused

Problem solving

NLP

Education

Bachelor's or Master's in Computer Science/Engineering/Math

Tools

Google Cloud Platform

BigQuery

PostgreSQL

Metabase

Terraform

Python

Job description

• As an AI 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
• 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

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 outcomesYou have a customer-first and learner's mindset, and value teaching othersYou're a clear and concise communicator; you enjoy the challenge of explaining complicated ideas in simple terms, both in-person and in writingExperience with the technologies we currently use is a plus, but by no means required: Google Cloud Platform, BigQuery, PostgreSQL, Metabase, Terraform, Python5+ years of AI engineering experience in a professional setting, preferably applying it to real world solutions8+ years of experience building software of significant scale and complexityYou know the right architecture and patterns to build something of enduring value and scaleYou make the right trade-offs when considering project scope, which corners are worth cutting, and which are notBachelors or Masters of Science in Computer Science, Computer Engineering, Math or other similar degreeYou've built systems that leverage ML technologies (e.g. built or used specific NLP models), and know what tools, frameworks, and libraries to useYou 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