IntelyCare Logo

IntelyCare

Senior Machine Learning Engineer

Posted 9 Days Ago
Hybrid
Quincy, MA
Senior level
Hybrid
Quincy, MA
Senior level
Lead machine learning initiatives, design algorithms for pricing and recruitment, collaborate with teams for product development, and ensure data integrity.
The summary above was generated by AI
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. 

Top Skills

Python
SQL

IntelyCare Quincy, Massachusetts, USA Office

1250 Hancock St #501N, Quincy, MA, United States, 02169

Similar Jobs

7 Days Ago
Hybrid
Boston, MA, USA
Mid level
Mid level
Consumer Web • eCommerce • Software
The Senior Machine Learning Operations Engineer enhances and maintains the ML platform, deploying models, building APIs, and collaborating with data scientists on scalable systems.
Top Skills: AWSDockerGithub ActionsNumpyPandasPythonPyTorchSagemakerScikit-LearnSnowflakeSQLXgboost
7 Days Ago
Hybrid
Cambridge, MA, USA
Senior level
Senior level
Robotics • Transportation
Develop and optimize machine learning models for robotics, focusing on AI-driven manipulation and perception, while collaborating with teams to integrate solutions into real-world applications.
Top Skills: C++CudaIsaac SimJaxMujocoOpencvPybulletPythonPyTorchRos2TensorFlowTensorrt
Mid level
Healthtech
The Cloud Developer AI/ML will build DevOps infrastructure, implement advanced analytics solutions, and collaborate with data scientists and stakeholders to drive business value using AI and ML.
Top Skills: AWSAzureCC++DockerGoGCPJavaJavaScriptJuliaKubeflowKubernetesMlflowPythonRust

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account