Machine Learning Engineer, Cedar
$170-200k
+ This role is equity eligible
More information about location
AI-powered healthcare financial experience platform
Job no longer available
AI-powered healthcare financial experience platform
501-1000 employees
Job no longer available
$170-200k
+ This role is equity eligible
More information about location
501-1000 employees
Company mission
To make healthcare more affordable and accessible through our consumer-friendly platform that's powered by data science, smart product design and personalization.
Role
Who you are
- 5+ years of experience working with data, with 3+ years of experience in machine learning in an industry setting
- Expertise in both SQL and Python is required
- Expertise in machine learning techniques such as regression, classification, clustering, and ensemble methods; not only in training performant models, but also how to use them successfully for business impact and how to employ effective guardrails
- Experience productionizing models and knowledge of cloud platforms such as AWS
- Excellent communication and collaboration with stakeholders, acting as a thought-partner for other data scientists and cross-functional teams
- Strong analytical ability and an understanding of statistical methods
- Understanding of software engineering principles
- A mindset focused on growth and learning, with a desire to take on new challenges and expand your impact over time
- Problem-solving ability, with the interest to further grow this skillset and apply strategic thinking to make key decisions relating to Cedar’s ML product features
- Experience working with healthcare data or payments/billing data is a plus, but not required
What the job involves
- Cedar is scaling rapidly and the demand for machine learning expertise is increasing
- We are seeking a Machine Learning Engineer III to join our team and build machine learning solutions that optimize the performance of Cedar’s product
- You will conduct deep analyses of data to develop a thorough understanding of our product features and how patients utilize them, along the way becoming an expert in Cedar data
- You will design, develop, and iterate on ML-powered product features to support and differentiate Cedar’s product offerings, and closely measure and monitor the performance of these ML models to identify and drive opportunities for continuous improvement
- As Cedar’s ML capabilities evolve, you will have the opportunity to expand your scope and influence key decisions about how ML is utilized in Cedar’s products
- Develop a deep understanding of Cedar patients and our product, including the mechanisms of Cedar’s platform and Cedar’s data
- Build and optimize pipelines for data extraction, processing, and transformation; perform in-depth data analysis, data cleaning, and feature engineering on (mostly) structured, tabular data
- Design, build, and deploy scalable and maintainable machine learning solutions that solve key problems for our patients and customers
- Rigorously evaluate the effectiveness of machine learning models by analyzing their performance, and identify opportunities for iteration and improvement
- Collaborate closely with data engineers and product engineers to productionize pipelines and ML solutions
- Present and clearly communicate findings and underlying methodology to partners across all levels of the organization, and present externally to Cedar clients
- Work cross-functionally to identify and evaluate opportunities where machine learning can drive business impact and competitive advantage
- Take ownership of end-to-end machine learning projects, from ideation to deployment, with increasing autonomy as you grow in the role
Our take
Over $1B is said to be lost annually by physicians as a result of inefficient and disjointed healthcare billing practices. The subsequently low patient satisfaction rates lead to poorer care, and real losses for providers who see patients switching away from their plans.
Cedar looks to remedy these issues with a selection of consumer-facing services which streamline billing, insurance and healthcare processes. Healthcare billing concerns a huge percentage of US adults, so optimizing patient satisfaction is of increasing concern - a great opportunity for the company.
After acquiring competing patient finance streamlining service OODA Health in 2021, Cedar netted substantial funds and launched its Payer Intelligence Layer. This has allowed it to integrate data from insurers and providers to create a single source of information. The company was also endorsed by the Montana Hospital Association's shared services division, to be listed as its only preferred patient financial engagement technology.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Dec 2022
$68.4m
SERIES D
Mar 2021
$200m
SERIES D
Total funding: $394.4m
Company benefits
- Multiple health / dental / vision insurance options to fit your needs
- Generous compensation package, including equity and 401k program matching 100% of your contributions, up to 3% of your annual compensation
- Unlimited PTO for vacation, sick and mental health days–we encourage everyone to take at least 20 days of vacation per year to ensure dedicated time to spend with loved ones, explore, rest and recharge
- We provide up to $10,000 in reimbursement through Carrot Fertility to support comprehensive, inclusive care for family-forming and reproductive health journeys
- 16 weeks of parental leave for all expecting parents
- Remote-friendly team events
- Location flexibility: you can work from home, in our NYC headquarters, or any combination of the two
- Constant learning and development opportunities
- Resources for mental and physical wellbeing
Company HQ
Tribeca, New York, NY
Leadership
Dr. Florian Otto
(Co-Founder & CEO)Previously an Executive at Zocdoc where they drove the commercial adoption of the platform. Also founded a daily deal company in Brazil (ClubeUrbano) that was eventually acquired by Groupon.
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