About the role

ℹ️ About the Position

Biodock empowers BioR&D labs to design and implement custom AI models for precision image analysis at scale. 

We are looking for a skilled Machine Learning & Python Backend Engineer to contribute to the development and maintenance of backend services supporting our platform’s AI and image processing features. You’ll work closely with computer vision models and manage data flow through ML models in an efficient and scalable way.

Our stack

Backend + AI (this role): Typed scientific Python (Numpy), Pytorch Web: React, Apollo GraphQL, Typescript, Mongo, Node We use: Docker, Terraform, Redis, AWS, Serverless

🔨 What you'll do

• Develop and maintain backend services and batch jobs that support image processing and AI features
• Work with image data in Numpy arrays and manage data flow to/from machine learning models
• Build scalable Python services that support model inference and data transformations
• Collaborate with the infrastructure team to optimize deployment pipelines for ML models
• Be exposed to every level of the company, working closely with the CEO to meet business goals and working off customer feedback.

🙋 Who you are

• 3+ years combination of backend development and machine learning experience
• Proficiency in Python 3 and experience with Numpy
• Familiarity with machine learning concepts and frameworks (e.g., PyTorch)
• Experience working with image data
• Experience working with tabular data (e.g., CSV, SQL)
• You want to work at a top VC-backed company at the earliest stage to help build things from the ground up.

Nice to Have:

• Experience with image processing tools like OpenCV, skimage, and matplotlib

• Familiarity with Jupyter notebooks for prototyping and data exploration

• Experience with AWS (S3, EC2, SQS, etc.)

• Experience with Docker

• Experience with MongoDB

  💰 Benefits

• Highly competitive pay and equity compensation

• Unlimited vacation/sick leave

About Biodock

Biodock is a cutting-edge, bio AI startup backed by Andreessen Horowitz and Y Combinator. We are building the future of AI cloud computing for microscopy images, NGS sequencing data, and more. Advances in our technology translate directly to advances in disease understanding and treatment. We give our product for free to academic scientists as part of our mission to accelerate research around the world.