Machine Learning Research Engineer
Public Sector
Updated on 8/30/2023
Scale AI

51-200 employees

Data platform for AI
Company Overview
Scale AI's mission is to accelerate the development of AI applications.
Washington, DC, USA
Experience Level
Desired Skills
Computer Vision
Data Structures & Algorithms
Google Cloud Platform
Natural Language Processing (NLP)
AI & Machine Learning
Software Engineering
  • US citizenship and US Government Security Clearance is a requirement (TS/SCI preferred)
  • Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment
  • Solid background in algorithms, data structures, and object-oriented programming
  • Strong programing skills in Python or Javascript, experience in Tensorflow or PyTorch
  • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers
  • Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics
  • Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines
  • Work with massive datasets to develop both generic models as well as fine tune models for specific products
  • Build the scalable ML platform to automate our ML service
  • Be a representative for how to apply machine learning and related techniques throughout the engineering and product organization
  • Be able, and willing, to multi-task and learn new technologies quickly
Desired Qualifications
  • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization
  • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
  • Experience with generative AI models