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Engineering Manager - Machine Learning at Recursion - ApplyBlast

Engineering Manager - Machine Learning

Recursion

4 months ago

3.4 on Glassdoor

Remote

Full Time

Senior

0 applicants

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About this role

This Senior ML Infrastructure Manager leads teams in building and scaling machine learning infrastructure to power drug discovery models. The role involves managing MLOps pipelines, optimizing supercomputing and cloud resources, and enabling large-scale deployment of AI and agent systems. You will collaborate cross-functionally to translate research requirements into robust, production-ready solutions for Recursion's platforms.

Responsibilities

Lead team building scalable ML infrastructure for drug discovery
Optimize GPU cluster utilization and model training pipelines
Establish company-wide MLOps standards and best practices
Mentor engineers on distributed systems and cloud architecture
Collaborate with research teams to define infrastructure requirements

Skills

Qualifications

BS in Computer Science or related fieldExperience in ML Infrastructure or MLOpsProficiency with Kubernetes and DockerDeep knowledge of Python and PyTorchLeadership experience in engineering roles

About Recursion

recursion.com

Headquarters

Salt Lake City, Utah, United States

Company Size

501-1000 employees

Founded

2013

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Recursion is a TechBio company that combines high-throughput experimental biology, automated imaging, and machine learning to decode biology and accelerate drug discovery. Its platform integrates large-scale biological datasets, AI models, and laboratory automation to identify and advance therapeutic candidates across multiple modalities and disease areas. Recursion develops an internal pipeline of programs and partners with biopharma and investors to translate discoveries into clinical-stage medicines. The company emphasizes a platform-first, scalable approach to make drug discovery faster, more reproducible, and more data-driven.