What you will do

• Develop the core machine learning algorithms powering our platform, in domains such as representation learning, clustering and outlier detection in high dimensional spaces, improving label quality in real-world datasets, and active learning.
• Keep up with state-of-the-art research in machine learning for content understanding. Apply state of the art deep learning models developed internally and from the research community to solve problems for our customers.
• Work closely with the rest of our engineering and design teams to identify feature and scalability improvements to our product. 
• Help define and evolve our engineering stack as we scale the product.
• Help us hire a world-class team and mentor new team members.

You will be a great fit if you have

• Experience building ML applications for unstructured data (image, video, text, audio streams) including data collection, model development and deployment.
• Familiarity with Python programming language. Hands-on experience with at least one of the popular deep learning frameworks like PyTorch and TensorFlow is a big plus.
• Strong communication skills and enjoy working in a collaborative environment. We encourage open discussion and want the best ideas to win.
• A curiosity about the early startup and company building journey.
• Bonus: experience working with Machine learning stack in AWS, or published research in machine learning or related fields at conferences/journals

Our current tech stack

• Infrastructure - AWS + Serverless + Kubernetes + secret sauce infra to power modern ML
• Backend - Python + FastAPI + Postgres + DynamoDB
• Frontend - React + Typescript