Remote ML Research Engineer

Summary

The job is for a Machine Learning Engineer at Genesis Therapeutics, where the employee will drive cutting-edge research to improve an ML platform for drug discovery. The role involves working closely with software engineers and medicinal chemists, keeping up with deep learning research, and creating statistically rigorous train, valid, and test sets.

Requirements

• A strong software engineer who will write code quickly and uphold our code quality standards
• Comfortable with linear algebra and statistics
• Experienced applying traditional ML techniques and/or deep learning to real-world problems
• A deep thinker who reasons from first principles over pattern matching
• Interested in learning about machine learning, biochemistry, and the drug development process

Responsibilities

• Drive speed and accuracy improvements in our ML platform
• Come up with architecture modifications for 2D and 3D graph neural networks
• Rapidly implement and test these modifications in pytorch
• Keep up with deep learning research, especially pertaining to graph neural nets and graph generative models
• Prototype ideas gleaned from the literature quickly
• Dive deep into molecular datasets
• Create statistically rigorous train, valid, and test sets to optimally train our models for real-world prediction and generation tasks
• Develop creative featurizations of 2D and 3D molecular structures

Benefits

• The opportunity to work on challenging, high impact ML research that is immediately deployed to accelerate the discovery of new medicines
• Strong technical coworkers in AI, software, and chemistry, who all have a powerful mix of intellectual curiosity and humility. The team reads and discusses 1-2 ML or chemistry papers every week to stay on top of the field and inspire new ideas
• Competitive salary and equity
• Medical, dental, and vision insurance, and a 401(k) program