--- title: 'Engineering Manager - Machine Learning at Recursion' canonical: 'https://feeny.ai/job/engineering-manager-machine-learning-recursion-canada-toronto-canada-84vktbzqj77z' type: 'job' last_seen: '2026-09-08' --- # Engineering Manager - Machine Learning at Recursion - **Company:** Recursion - **Location:** Canada / Toronto, Canada - **Work type:** remote - **Posted:** 2026-07-16 - **Last confirmed live:** 2026-09-08 - **Apply:** https://job-boards.greenhouse.io/recursionpharmaceuticals/jobs/8069513 ## Job description Your work will change lives. Including your own. The Impact You’ll Make You will lead a team working to build, scale, and optimize the machine learning infrastructure that powers Recursion's 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 Recursion's 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 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. 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 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. - Fluency in life sciences or drug discovery is a plus but not required to be considered. 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). In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. ## #LI-EP1 ## #LI-REMOTE 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 isn’t about rushing but about moving the needle every day. - 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. - 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. Recursion’s 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 [www.recursion.com](https://www.globenewswire.com/Tracker?data=RX8_3OmD5YHn9KPS0dIZWI5SJTXw7o78IX71mdHWAptB3UnjQ7VNutoXIyTbG5D_sBzYYsRPGsSI2UDwEODguVwc0tsA_7kbn2hIXe7Xb8g=), or connect on [X](https://www.globenewswire.com/Tracker?data=PEN8v5P4NfB9Je1Ehd4M665lSNOQWhGtMQkvFASBLBI-jFZV3X4qcj21uQ1akOvCKbQGxe8fC1gw7KzH_yFxhw==) and [LinkedIn](https://www.globenewswire.com/Tracker?data=NZ3-__S7n3thuUCJDwe4LbKB3mL3beP5InfKrkM-PaMYe7yHWExchDgzH5kpuanTnSQt567E9X4FJ-sc4RRSbXAPzNGE7JsoG7bLhL2f84LlAk2rLmDecui7soYSVpUY). 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. Recursion leverages AI in our hiring process. 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. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. 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. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. 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 Recursion’s 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. ## About Recursion ## Company Overview - **One-liner**: Recursion is a clinical-stage TechBio company that uses artificial intelligence and an industrialized platform to decode biology and industrialize drug discovery. - **Entity Type**: Public (NASDAQ: $RXRX) - **Headquarters**: Salt Lake City, Utah, USA - **Founded**: November 5, 2013 - **Founders**: Blake Borgeson, Ph.D., Chris Gibson, Ph.D., and Dean Li, M.D., Ph.D. ## Core Business - **Primary industry**: TechBio – AI-powered drug discovery and development (oncology, rare disease, neuroscience, immunology, and other therapeutic areas with high unmet need). - **Target customers**: B2B (therapeutic partners: Bayer, Roche/Genentech, Sanofi, Merck KGaA, Gates Foundation) and ultimately patients awaiting new medicines. - **Mission**: “To decode biology to radically improve lives.” ## Products & Services - **Recursion OS (Recursion Operating System)**: An AI-native, end-to-end drug discovery and development platform that integrates biology, chemistry, and clinical development. It combines massive proprietary multimodal data, purpose-built AI/ML models, and automated wet-lab robotics (including computer vision for phenomics, transcriptomics, proteomics, ADME) to accelerate hit identification to IND-enabling studies up to 3× faster than traditional averages. - **Clinical-Stage Pipeline** (5 programs): - **REC-617**: CDK7 inhibitor for advanced solid tumors. - **REC-1245**: RBM39 degrader for biomarker-enriched solid tumors and lymphoma. - **REC-3565**: MALT1 inhibitor for hematology indications. - **REC-4539**: LSD1 inhibitor for solid tumors and hematology. - **REC-4881**: MEK1/2 inhibitor for familial adenomatous polyposis (FAP) – Fast Track designation granted. - **Open-Source Data & Models**: Non-commercial releases of datasets (e.g., Rxrx1-3), OpenPhenom-S/16 foundation model (on Google Cloud & HuggingFace), and the Boltz-2 model (in collaboration with MIT) for binding affinity prediction – >1,000× faster than traditional physics-based methods. ## Market Standing - **Valuation/Market Cap**: Not publicly available from provided sources. (As a public company, latest market cap can be found on financial platforms.) - **Key Metric**: Annual Revenue not disclosed; total funding after IPO not detailed, but the company went public in April 2021 (NASDAQ: RXRX). The latest data highlights >50 petabytes of proprietary data and BioHive-2 supercomputer. - **Notable Investors/Partners**: - **Therapeutic Partners**: Bayer Pharmaceuticals, Roche & Genentech, Sanofi, Merck KGaA (Darmstadt, Germany), The Gates Foundation. - **Data & Technology Partners**: NVIDIA, Google Cloud, Helix, Tempus. - **Growth Signals**: - Completed BioHive-2 (most powerful supercomputer wholly owned by any biopharma company, built with NVIDIA). - New CEO: Najat Khan, Ph.D. (as of 2025); co-founder Chris Gibson became Chairman. - Fast Track designation for REC-4881 (FAP); multiple investigational new drug (IND) applications granted. - Expanded London office (King’s Cross) and presence in Toronto (MILA) and Montreal. - Open-sourced Boltz-2 (2025) and SynFlowNet-Boltz trainer. ## Competitive Advantages - **Industrialized End-to-End Platform**: Unlike single-point-solution competitors, Recursion combines automated wet-lab, massive proprietary datasets (>50 petabytes), AI/ML models, and clinical data into a unified “World Model” that continuously improves. - **Massive Compute**: BioHive-2 supercomputer – the largest in the pharmaceutical industry – enables rapid training and iteration on the World Model. - **Bilingual Teams**: Recruitment of scientists and technologists fluent in both biology and AI, enabling tight integration across the platform. - **Speed & Cost**: Demonstrated 3× faster discovery from hit identification to IND-enabling studies vs. traditional pharma averages, and reduced failure rates. - **Open-Science Commitment**: Releases foundational models and datasets to accelerate the entire field while keeping the majority of proprietary data as a moat. ## Strategic Focus - **Advancing Clinical Pipeline**: Prioritize oncology and rare disease programs, with several Phase 1/2 trials underway (e.g., TUPELO trial for REC-4881 in FAP). - **Deepen Partnerships**: Expand therapeutic co-development deals and technology collaborations with NVIDIA, Google Cloud, and others. - **Platform Enhancement**: Continue scaling the Recursion OS through more data, better models, and increased compute; open-source key components to attract top talent and drive innovation. - **Global Expansion**: Grow hubs in Salt Lake City, London, Toronto, and Montreal to access diverse talent pools. ## Why Work Here - **Culture**: Recursion prioritizes belonging, collaboration, and career development. Employee resource groups (PRIDE, Women, BIPOC) and regular social/community events foster inclusion. - **Work Policy**: Hybrid/remote flexibility – some roles (e.g., VP Head of Clinical Operations) are fully remote, while others are based in Salt Lake City, London, Toronto, or Montreal. - **Benefits**: Exceptional healthcare (including mental health), equity, bonuses, paid professional development (Coursera, coaching), and a strong emphasis on work-life balance. - **Engineering & Science Culture**: Work alongside “bilingual” teams of AI researchers, chemists, biologists, and engineers on a mission to solve massive biological challenges. Access to one of the world’s most powerful supercomputers and cutting-edge automated labs. ## Sources 1. [Recursion.com – Overview & Technology](https://www.recursion.com/) 2. [Recursion.com – Careers](https://www.recursion.com/careers) 3. [Recursion.com – FAQ](https://www.recursion.com/faq) 4. [Recursion.com – Our Story](https://www.recursion.com/our-story) ## Other roles at Recursion - [Vice President, Business Development and Licensing](https://feeny.ai/job/vice-president-business-development-and-licensing-recursion-new-york-g7fmffvyz3q0) — New York, NY - [Director, Clinical Pharmacology](https://feeny.ai/job/director-clinical-pharmacology-recursion-new-york-m3cqa6yhnjmx) — New York, NY / Salt Lake City, UT - [Director, Clinical Pharmacology](https://feeny.ai/job/director-clinical-pharmacology-recursion-london-yyy2pndcdy2r) — London, United Kingdom - [Director, Regulatory Affairs](https://feeny.ai/job/director-regulatory-affairs-recursion-london-vx7mazxzrb4y) — London, United Kingdom / United Kingdom - [Executive Director, Asset Strategy Leadership](https://feeny.ai/job/executive-director-asset-strategy-leadership-recursion-new-york-3swac2xhpqtt) — New York, NY - [Director, Regulatory Affairs](https://feeny.ai/job/director-regulatory-affairs-recursion-new-york-gdg6j1a9r7vp) — New York, NY / United Kingdom / United States / Salt Lake City, UT - [Senior Computational Biologist – Early Discovery Immunology](https://feeny.ai/job/senior-computational-biologist-early-discovery-immunology-recursion-new-york-wjbrcxg1a0ze) — New York, NY / Salt Lake City, UT - [Senior Computational Biologist - Early Discovery Oncology](https://feeny.ai/job/senior-computational-biologist-early-discovery-oncology-recursion-new-york-ch3n8qvj3sj3) — New York, NY / Salt Lake City, UT - [Executive Director, Corporate Strategy & Intelligence](https://feeny.ai/job/executive-director-corporate-strategy-intelligence-recursion-new-york-k9dz38n06q6b) — New York, NY - [Associate Director, Computational Biology – Early Discovery](https://feeny.ai/job/associate-director-computational-biology-early-discovery-recursion-salt-lake-jd1d066n9q0s) — Salt Lake City, UT