Simplify Logo

Full-Time

Sr. Machine Learning Scientist

Posted on 1/31/2024

Recursion Pharmaceuticals

Recursion Pharmaceuticals

501-1,000 employees

Clinical-stage biotechnology company for drug discovery

Data & Analytics

Compensation Overview

$170k - $192kAnnually

+ Bonus + Equity + Comprehensive Benefits Package

Senior

Salt Lake City, UT, USA

Category
Applied Machine Learning
Deep Learning
AI Research
AI & Machine Learning
Required Skills
Kubernetes
CUDA
Data Structures & Algorithms
Pytorch
BigQuery
Docker
Pandas
NumPy
Linux/Unix
Google Cloud Platform
Requirements
  • Expert knowledge of machine learning theory and practice
  • Experience with biological data (microscopy, histology, transcriptomics, clinical data)
  • Experience in developing net-new algorithms and architectures, particularly leveraging self-supervised learning
  • Experience in running quick and focused computational experiments evaluating project feasibility
  • Ability to work closely with biologists to develop new training and benchmarking datasets
  • Ability to interpret and develop benchmarks for assessing model performance
  • Proficiency in PyTorch, NumPy, Pandas, GCP, Hybrid Cloud, Linux, CUDA, Docker, Kubernetes, BigQuery, and large scale distributed systems
Responsibilities
  • Build and curate large scale datasets for training machine learning models across multiple modalities
  • Develop new algorithms and architectures and train large models on these datasets
  • Explore properties of the resulting representation model on a range of benchmarks
  • Develop new benchmarks for interpreting how models are behaving
  • Work collaboratively alongside machine learning engineers, researchers, and product managers
  • Support deploying machine learning models to Recursion’s platform
Recursion Pharmaceuticals

Recursion Pharmaceuticals

View

Recursion is a clinical-stage biotechnology company utilizing a synchronized combination of hardware, software, and data to industrialize drug discovery and decode complex biology, reshaping the traditional drug discovery funnel through technological innovations. Their approach integrates biology, chemistry, automation, and data science to build a next-generation biopharmaceutical company.

Company Stage

IPO

Total Funding

$764.1M

Headquarters

Salt Lake City, Utah

Founded

2013

Growth & Insights
Headcount

6 month growth

3%

1 year growth

-1%

2 year growth

17%
INACTIVE