Research Scientist

Series A, $23M+ in Funding, Team of 25, HQ in SF


This team is on a mission to develop a revolutionary ML Data Intelligence platform tailored for Unstructured data, spanning realms like NLP, Computer Vision, and Generative AI.

This is the chance to work on a groundbreaking product that is poised to revolutionize the way companies approach data quality and data selection in Machine Learning. Join this team and help build the future of data intelligence in Machine Learning.

Job Overview:

They are seeking an outstanding ML Researcher, keen on crafting data-centric algorithms for appraising Large Language Models and innovating Deep Learning models for Computer Vision projects from the ground up.

Desired Qualities:

  • Entrepreneurial spirit, emphasizing thoughtful actions and autonomous drive.
  • A minimum of 2 years in professional Machine Learning research.
  • Proficiency in training and assessing Deep Learning models via tools like Pytorch, Tensorflow, Keras, and other renowned frameworks.
  • A comprehensive background in conducting ML research studies - framing goals, pivotal metrics, gathering pertinent datasets, training models, and gauging metric accuracy.
  • A strong grasp of Machine Learning Theories and Statistical concepts.
  • Deep familiarity with Python ML libraries, notably numPy and pandas.


  • Hands-on experience with AWS Sagemaker, Vertex AI, or ML Flow.
  • Exposure to Generative models or Large Language models.
  • Proficiency with distributed ML training platforms like Dask or Ray.
View Profile
Max file size 10MB.
Upload failed. Max size for files is 10 MB.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.