Machine Learning Solutions Engineer
Confirmed live in the last 24 hours
Flywhee.io

51-200 employees

Medical imaging data management and analysis platform
Company Overview
Flywheel.io stands out in the medical imaging data management sector due to its commitment to informed, precise, and impactful healthcare decisions, leveraging trustworthy AI. The company's competitive advantage lies in its platform that facilitates the development of advanced imaging algorithms, accelerating biomarker discovery and enhancing patient outcomes. Furthermore, Flywheel.io's culture of support is evident in their Scientific Solutions Engineers, who, with their real-world research experience, provide valuable consultation and training to optimize research processes.
Data & Analytics
B2B

Company Stage

Series D

Total Funding

$106.8M

Founded

2015

Headquarters

Minneapolis, Minnesota

Growth & Insights
Headcount

6 month growth

4%

1 year growth

18%

2 year growth

65%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Microsoft Azure
Python
Tensorflow
Keras
Pytorch
Docker
AWS
Google Cloud Platform
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • 2+ years of software development experience with Python (required) and Docker
  • 2+ years of experience in machine learning, with a focus on medical imaging
  • 2+ years of experience with deep learning Python frameworks such as TensorFlow, PyTorch, Keras or MONAI
  • Experience deploying, monitoring, and maintaining models in production
  • Experience in data curation and leveraging open source datasets for developing models
  • Experience with MLops practices and platforms (e.g. VertexAI, SageMaker, Azure Machine Learning) or libraries (e.g. MLflow)
  • Proven expertise with at least one of the main cloud providers (e.g., AWS, Azure, GCP)
  • Experience in at least one of the following medical imaging modalities: MRI, CT, X-ray, PET, OCT, Digital Pathology
Responsibilities
  • Aid customers in creating machine learning models as well as curation and analysis pipelines to achieve their research project objectives
  • Promote "best practices" for model development and product usage through toolkit development, documentation, blog posts, and ad-hoc training
  • Develop methods for migrating historical data from file systems, open source datasets, and other scientific data management systems
  • Serve as advisor to the product management team for overall ML product experience
  • Read customer-written code and applications, translate and integrate into Flywheel's platform
  • Work independently with a remote team