Recursion Pharmaceuticals

Recursion Pharmaceuticals

Engineering Manager - Machine Learning

Remote Opportunity - Canada; Toronto, Ontario

Sponsorship not specified$210k-$283kDetected 5 days ago
PythonPostgreSQLBigQueryGCPCloud PlatformsDockerKubernetesPlatform EngineeringMachine LearningDeep LearningPyTorchData ScienceLLMsAgentic AIMLOpsA/B TestingRecruitingResearchLeadershipCollaboration

About the role

  • With billions of compounds, 30+ petabytes of experimental data, and complex deep learning workloads, your team enables everything from automated compound screening models to clinical trial prediction systems.
  • You will report to the Executive Director of Engineering who broadly oversees Cloud Infrastructure, High Performance Compute and Machine Learning Infrastructure space.
  • Excitement for deeply engaging in technical details with your team around machine learning, orchestration and agentic systems. - A people-first mindset.

Responsibilities

  • We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together.
  • They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively.
  • Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter - faster, better, and at scale - for patients who are waiting.
  • Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation.
  • The ML infrastructure team is responsible for building and operating platforms that allow data scientists and ML engineers to train, deploy, and monitor models across Recursion's massive datasets.
  • You will work closely with researchers and ML engineers to understand their infrastructure needs and build scalable solutions for model development, training, and deployment.
  • We believe that the best work comes from working across organizational boundaries and you will have opportunities to partner with ML research, platform engineering, and business teams.
  • You will work with stakeholders across the business to ensure our ML infrastructure supports rapid experimentation, reliable model deployment, and continuous improvement.

Requirements

  • We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role.
  • By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process.

Nice to have

  • A people-first mindset.
  • Excitement to learn parts of our ML tech stack that you might not already know.
  • Fluency in life sciences or drug discovery is a plus but not required to be considered.

Skills

  • Your work will change lives.
  • Including your own.
  • The Impact You'll Make

Compensation

  • Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: $210,070-$282,851 (CAD).
  • In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package.

Benefits

  • You will share your technical, leadership and managerial skills in MLOps, distributed computing, and infrastructure engineering, delivering impact, learning, and growth across teams at Recursion.
  • Machine learning is at the core of everything we do.

Company info

  • You'll Join:
  • You'll be part of a group of technical leaders who work together on the craft of engineering leadership as well as debate ML system architecture, MLOps patterns, and infrastructure optimization strategies.
  • We all work better when we have the support of those around us and are learning together to solve complex problems around model scalability, deployment reliability, and infrastructure efficiency across our teams.
  • The Experience You Will Need:
  • Experience in a hands-on technical role as a tech lead or a manager with a focus on infrastructure, MLOps and distributed systems. Excitement for deeply engaging in technical details with your team around machine learning, orchestration and agentic systems.
  • A people-first mindset. We deliver in a way that prioritizes supporting our coworkers in their growth and experience and understand how Conway's Law shapes our ML system outcomes.
  • Demonstrated past record of learning from and teaching peers in areas of ML infrastructure, model deployment, distributed compute, GPU optimization, and MLOps system architecture
  • Excitement to learn parts of our ML tech stack that you might not already know. Our current ML infrastructure includes: Python, PyTorch, Docker, Kubernetes, Ray, Weights & Biases, Prefect, BigQuery, Postgres, GCP, CUDA, and various model serving frameworks.
  • Working Location & Compensation:
  • This is a fully remote position based in Toronto, Canada.
  • At Recursion, we believe that every employee should be compensated fairly.
  • Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: $210,070-$282,851 (CAD).

Equal opportunity

  • Recursion is an Equal Opportunity Employer.

Visa & Work Authorization

  • Act as a mentor, coach, and sponsor - You will share your technical, leadership and managerial skills in MLOps, distributed computing, and infrastructure engineering, delivering impact, learning, and growth across t
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This listing is sourced directly from Recursion Pharmaceuticals's careers page and normalized into a canonical job model.