Similar Jobs
.png)
Healthtech • Other • Sales • Software • Analytics • Conversational AI
The Senior Machine Learning Engineer will develop AI agents for healthcare workflows, collaborating cross-functionally, ensuring production-level deployment, and enhancing patient interactions.
Top Skills:
AWSHugging FaceLangchainPythonSQLTensorFlowTypescript
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
The Senior Machine Learning Engineer will lead ML projects to enhance user engagement, design ML systems, build pipelines, and mentor junior engineers.
Top Skills:
DatabricksGitopsJenkinsMlflowPythonSparkSQL
HR Tech • Information Technology
Lead the design, deployment, and optimization of machine learning models for fraud detection in payment systems, collaborating with various engineering teams.
Top Skills:
AWSAzureCi/CdGCPGitNumpyPandasPythonPyTorchRestful ApisTensorFlowTerraform
Senior Machine Learning Engineer
At IntelyCare, purpose matters! We are changing the future of healthcare by changing the future of work for nurses. We’ve built our mission-driven company on the idea that nursing professionals deserve better and when they are happy, patient care is elevated, and our healthcare systems thrive. Through our easy-to-use app and platform, nursing professionals get the pay, freedom, and flexibility they deserve while our partnered facilities get access to nursing resources when and where they need them.
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.
Essential Duties & Responsibilities
- 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
Qualifications
- 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!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Please be aware, qualified candidates will be contacted directly via email by an IntelyCare Talent Acquisition Partner, from an IntelyCare email address.
IntelyCare Quincy, Massachusetts, USA Office
1250 Hancock St #501N, Quincy, MA, United States, 02169
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
