Senior Machine Learning Engineer, IntelyCare
Office located in Quincy, MA
Healthcare workforce management
Open for applications
Healthcare workforce management
1001+ employees
Open for applications
Office located in Quincy, MA
1001+ employees
Company mission
To empower healthcare professionals to work better, together.
Role
Who you are
- Sound understanding of machine learning fundamentals
- Strong command of statistical inference, hypothesis testing, and/or econometrics
- Extremely comfortable in Python
- Significant SQL expertise
- Strong problem solving and communication skills
- Advanced knowledge of statistics - Bayesian and/or frequentist methods
- Mastery of advanced machine learning concepts (e.g. deep learning, reinforcement learning)
- Meticulous habits for legible and intuitive code organization and documentation
- Software development experience (unit tests, APIs)
- A github repo is a big bonus!
What the job involves
- The Senior Machine Learning Engineer will spearhead our machine learning efforts as well as our advanced statistics models to drive our pricing, recommendation systems, and recruiting initiatives
- Broadly speaking, the mandate is to leverage IntelyCare's data to improve the experience of both our customers and clients
- Technical ownership of IntelyCare’s pricing algorithm
- Build and design additional algorithms to identify “markets” and to improve our internal reporting, pricing, and recruiting
- Partner with software engineers to develop “smart” products and features
- Lead and design careful experiments to measure the impact of new products or interventions
- Support data projects from various teams to ensure accuracy, scalability, and interpretability
Our take
An ageing, overworked, and shrinking nursing workforce, along with growing demand for healthcare services (and an increase in the acuity of this demand) has led to a concerning shortfall of healthcare staff in the US. IntelyCare’s remarkable growth over recent years suggests the company has found a promising solution: an online marketplace of well-paid, quick-to-fill per diem nursing shifts.
The idea is that nurses can operate as "gig workers"—crafting a personalized, well-remunerated work schedule that fits around other commitments and needs and healthcare institutions can more easily source adequate staffing. It’s a good model in theory, but in practice, it requires strong participation. With popular competitors like Unicorn company Clipboard Health and startups like ShiftMed, splitting off a market share could prove challenging.
Nevertheless, the last few years have been strong for IntelyCare. The company has seen 850% revenue growth since 2020, the number of nurses on the platform has more than doubled, demand from institutions tripled, and IntelyCare itself hit Unicorn status. So participation levels are substantial, and growing - and with the nursing crisis predicted to continue through 2030, IntelyCare is making good strides in a durable product.
Steph
Company Specialist at Welcome to the Jungle
Insights
18% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Apr 2022
$115m
SERIES C
Mar 2020
$45m
SERIES B
Total funding: $170.8m
Company benefits
- Medical, dental, and vision
- 401k
- Health and wellness benefits
- Free lunches
- Commuter benefits
- Flexible PTO and summer Fridays
- Paid Parental Leave
- Paid holidays
Company HQ
Quincy, MA
Leadership
Matthew Levesque
(CEO)Joined IntelyCare as CEO in 2024. Prior to this, they were the CEO of connectRN and spent 12 years at athenahealth in various Director/VP/SVP roles.
Salary benchmarks
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