Senior AI/Machine Learning Software Engineer | Candid Health · Teeming.ai
Candid Health
Candid Health is building a modern medical payments platform that enables healthcare providers to focus on delivering high-quality, affordable and accessible care, rather than spending half their time figuring out how to get paid by insurance.
Candid Health is building a modern medical payments platform that enables healthcare providers to focus on delivering high-quality, affordable and accessible care, rather than spending half their time figuring out how to get paid by insurance.
Data and AnalyticsDeepTechHealthInformation TechnologySoftware
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Company Overview
Problem Domain
Medical billing, claims denials, and revenue cycle management for healthcare providers
Founded
2019
Industry
Hospitals and Health Care
Funding Track Record
Series B
29,000,000 USD
Reported prior round (~$29M) led by 8VC with participation from existing investors
Series C
52,500,000 USD
Most recent disclosed round reported as $52.5M led by Oak HC/FT
Investor Signal
“Backed by institutional investors including Oak HC/FT, 8VC, First Round Capital, BoxGroup, and Y Combinator”
Founders
What we do
Join the Team
Senior AI/Machine Learning Software Engineer
On-SiteSan Francisco Bay Area, New York, Denver, US
On-Site • San Francisco Bay Area, New York, Denver, US
Who you are
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
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
What the job involves
Benefits
Flexible vacation
Medical, Dental, and Vision
401k (currently not matching)
Learning & Development tools via First Round Capital
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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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