The Impact You’ll Make

As a Machine Learning Engineer, you will be building a platform that accelerates drug discovery with machine learning for a wide variety of use cases with respect to data modality, model architecture, and model size. By leveraging your experience in machine learning, software engineering, infrastructure, and data, you will:

- Build our machine learning platform from a mixture of off-the-shelf and custom tooling as needed to enable the full model lifecycle from development through deployment
- Partner with ML teams actively developing models to onboard them to platform capabilities
- Continuously optimize the platform to support our emerging machine learning research capabilities and evolving use case needs
- Steer the direction for ML tooling, improve technical standard and advocate for best practices
- Inspire your team and stakeholders alike to find the best outcome by facilitating constructive dialogue, reconciling perspectives into a unified view

You will not:

- Be responsible for developing machine learning models

Location

This position is based at our office in Toronto, Canada OR our headquarters in Salt Lake City, Utah.

The Experience You’ll Need

- Experience designing and building large distributed systems with elegant interfaces that can scale easily
- Proficiency with the full lifecycle of ML and software development in production, including: Data preparation, model training, evaluation,



deployment, and monitoring
- Releasing, and maintaining mature ML products
- Authoring well tested, scalable, documented code, peer reviews, CI/CD
- Ability to own projects in a collaborative open setting
- Ability to be a mentor, coach, and sponsor to peers and colleagues
- Nice to haves: PyTorch, NumPy, Pandas, GCP, Hybrid Cloud, Linux, CUDA, Docker, Kubernetes, SLURM, BigQuery, large scale distributed systems

How You’ll be Supported

- A member of the ML Infra team will be your trail guide to ensure smooth onboarding
- You will be encouraged to attend one conference of your choice per year paid for by Recursion in support of our value of ‘We Learn’
- You will be provided opportunities to share your work and teach others new skills through weekly initiatives like Friday Wins and Tech Talks
- You will have the option to participate in coaching like BetterUp for leadership skills and development programs
- Our team will get together in person once a quarter (usually in Salt Lake or Toronto) to build alignment and motivation as well as spend quality time with one another

Compensation

- Developing: 215,000 CAD
- Skilled: 226,000 CAD
- Expert: 242,000 CAD

You will also be eligible for bonuses and equity compensation + our comprehensive benefits package for United States based candidates.

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📌 Senior Machine Learning Engineer (Toronto)
🏢 Recursion Pharmaceuticals
📍 Toronto