Engineering Manager - Machine Learning
Lead a team to build and optimize machine learning infrastructure for drug discovery at Recursion Pharmaceuticals.
Posted by employer 1 month ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Role intensity
10% coding — mostly leadership/strategy
AI in the day-to-day
We leverage AI in our hiring process using Greenhouse's Talent Matching AI technology.
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
The Engineering Manager for Machine Learning at Recursion Pharmaceuticals leads a team focused on developing and optimizing the machine learning infrastructure that supports the company's drug discovery efforts. This role requires expertise in MLOps, distributed systems, and a strong technical background in tools like Python, PyTorch, and Kubernetes. Ideal candidates will have experience in technical leadership and a collaborative mindset, making it suitable for those with a blend of managerial and hands-on skills. The position emphasizes cross-functional teamwork and a commitment to fostering a model-driven culture.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Recursion Pharmaceuticals's career page.
- Recursion Pharmaceuticals has 14 other open roles including Senior AI Researcher, Director, Regulatory Affairs, Director, Clinical Pharmacology.
- 6527 active Python roles on Joblaze right now.
- 2568 active Kubernetes roles on Joblaze right now.
- 1357 active PostgreSQL roles on Joblaze right now.
- Pays more than 46% of the 3228 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- Is the Engineering Manager - Machine Learning role remote?
- Yes — Recursion Pharmaceuticals lists this as a fully remote position.
- What's the salary range?
- Recursion Pharmaceuticals lists CAD 210,070–CAD 282,851 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: BigQuery, CUDA, Docker, GCP, Kubernetes, PostgreSQL.
- What seniority level is this role?
- Recursion Pharmaceuticals targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Engineering Manager - Machine Learning role at Recursion Pharmaceuticals.
From the original posting
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.
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#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, 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.