Engineering Manager Machine Learning

Your work will change lives. Including your own.

The Impact Youll Make

You will lead a team working to build scale and optimize the machine learning infrastructure that powers Recursions drug discovery platform. From model training pipelines to production deployment systems to agent infrastructure and Large Language Models you will ensure our ML models can operate at massive scale across our supercomputing infrastructure both on prem and in the cloud. You will work cross-functionally across ML engineering data science and research teams to translate requirements into robust scalable ML infrastructure solutions.

In This Role You Will:

• Enable AI/ML LLM and Agentic Systems teams for scale - 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 Recursions massive datasets. 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 work closely with researchers and ML engineers to understand their infrastructure needs and build scalable solutions for model development training and deployment.
• 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 teams at Recursion. 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.
• Enable a model-driven culture - Machine learning is at the core of everything we do. You will work with stakeholders across the business to ensure our ML infrastructure supports rapid experimentation reliable model deployment and continuous improvement. Problems you will work on could range from optimizing GPU cluster utilization to implementing Agentic orchestration and establishing company-wide MLOps standards

The Team Youll Join:

Youll 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. You will report to the Executive Director of Engineering who broadly oversees Cloud Infrastructure High Performance Compute and Machine Learning Infrastructure space.

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 Conways 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.
• Fluency in life sciences or drug discovery is a plus but not required to be considered.

Working Location & Compensation:

This is a remote position based in Toronto Canada.

At Recursion we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role the estimated current annual base range for this role is $210070 to $282851 (CAD). You will also be eligible for an annual bonus and equity compensation as well as a comprehensive benefits package.

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The Values We Hope You Share:

• We act boldly with integrity. We are unconstrained in our thinking take calculated risks and push boundaries but never at the expense of ethics science or trust.
• We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up speaking honestly and taking action.
• We learn actively and adapt rapidly. Progress comes from doing. We experiment test and refine embracing iteration over perfection.
• We move with urgency because patients are waiting. Speed isnt about rushing but about moving the needle every day.
• We take ownership and accountability. Through ownership and accountability we enable trust and autonomyleaders take accountability for decisive action and teams own outcomes together.
• We are One Recursion. True cross-functional collaboration is about trust clarity humility and impact. Through sharing we can be greater than the sum of our individual capabilities.

Our values underpin the employee experience at Recursion. 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.

More About Recursion

Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology rare disease neuroscience immunology and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS an AI-native end-to-end drug discovery and development platform integrating biology chemistry and clinical development into a unified intelligence system. 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.

Recursions platform infrastructure is anchored in Salt Lake City Utah and Milton Park Oxfordshire where its automated biology and chemistry laboratories generate proprietary data at industrial scale. 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. Learn more at or connect on X and LinkedIn.

Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age disability veteran status or any other characteristic protected under applicable federal state local or provincial human rights legislation.

Accommodations are available on request for candidates taking part in all aspects of the selection process.

Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursions internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.