ML Engineer

We’re reinventing the market research industry. Let’s reinvent it together.

• Work closely with Product staff, fellow engineers and managers to create new solutions to solve client use-cases. Take a task, get clarity as needed, and run with it to produce well-designed quality code.
• Work with large-scale datasets to clean, preprocess, and transform data for training.
• Implement and maintain automated model training, validation, and testing pipelines.
  

• Data that matters and that is shaping the impact of billion dollar brands.
• Brillant, motivated and passionate colleagues with whom to spend your time.
• An inclusive and collaborative company culture- we work in an open environment while working together to get things done, and adapt to the changing needs as they come.
• Market competitive total compensation package.
• Volunteer time off and charitable donation matching.
• Regular hackathons to build your own projects and work with people across the entire company
• Strong support for career growth, including mentorship programs, leadership training, access to conferences and employee resource groups.
  

What You'll Bring to Numerator

• What you bring:
• Minimum 4 years of strong working experience in Python and relevant libraries (Pandas, Numpy, Scikit-learn, etc.)
• Experience with PyTorch and/or Tensorflow.
• Experience with creating predictive models using machine learning algorithms.
• Strong fundamentals in NLP and computer vision, image processing and deep learning algorithms.
• Familiarity with Large Language Models (LLMs) like GPT, BERT, etc.
• Familiarity with vector databases and retrieval-augmented generation (RAG) is a bonus.
• Knowledge of agile development process
• Good English communication skills (written/verbal)
• Experience with version control systems (Git etc.)
• Experience with SQL databases.
  

• Working experience with FastAPI/Flask and React.
• Understanding of SQLAlchemy ORM.
• Understanding of using RESTFUL API’s
• Familiarity with AWS.