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Full-Time

Senior Machine Learning Engineer

Platform Development

Updated on 7/8/2024

Recursion Pharmaceuticals

Recursion Pharmaceuticals

501-1,000 employees

Clinical-stage biotechnology company for drug discovery

Data & Analytics

Compensation Overview

$92k - $112kAnnually

+ Bonuses + Equity Compensation

Senior, Expert

London, UK

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Kubernetes
CUDA
Pytorch
BigQuery
Docker
Pandas
NumPy
Linux/Unix
Google Cloud Platform
Requirements
  • Experience in designing and building scalable, large-scale distributed systems
  • Proficiency in full lifecycle of machine learning and software development in production
  • Capability to lead projects in a collaborative environment
  • Preferred skills in PyTorch, NumPy, Pandas, GCP, Hybrid Cloud, Linux, CUDA, Docker, Kubernetes, SLURM, BigQuery, large-scale distributed systems
Responsibilities
  • Building a machine learning platform using GCP cloud and High Performance Compute
  • Partnering with ML teams to onboard them to platform capabilities
  • Optimizing the platform to support machine learning research capabilities
  • Improving technical standards and advocating for best practices
  • Facilitating constructive dialogue and reconciling perspectives
Recursion Pharmaceuticals

Recursion Pharmaceuticals

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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%