Your work will change lives. Including your own.
The Impact You’ll Make
As a Machine Learning Intern, you will contribute to building ML models leveraging a range of data types including vision and other Omics that will power a diverse range of use cases in drug discovery. By leveraging your experience in machine learning, software engineering, infrastructure, and data, you will:
- Contribute to developing algorithms and architectures and training models on large biological datasets
- Leverage Recursion’s leading supercomputer, training models across 100s of GPUs
- Explore properties of the resulting representation model on a range of benchmarks
- Work collaboratively alongside machine learning engineers, scientists, and product managers
Location:
Toronto, Ontario CA
The Team You’ll Join:
You will be joining Inception Labs, a research and development team within Recursion. This team is a cross-functional group of exceptional biologists, engineers, product managers, machine learning scientists, computational biologists, and data scientists. Together, we are working to prove out novel technologies including new biological assays and data modalities, statistical and ML techniques, and computational approaches for multimodal data. This team works rapidly on a project-by-project basis to either prove or disprove the value and feasibility of these new ideas and approaches.
Recursion has built a unique dataset (over 1 million unique biological perturbations profiled in a high-dimensional biological assay, making up nearly 20 PB of highly-relatable data) and a unique approach to phenotypic drug discovery using our inference-based Recursion Map to predict tens of billions of relationships between disease models and therapeutic candidates. Additionally, we’ve generated additional large-scale Omics datasets to complement our phenomics data. Recently, Recursion has also gained access to large numbers of anonymized patient records including medical imaging and molecular profiling artifacts to guide our understanding of disease mechanisms. The capabilities you bring to the Inception Labs team will help us scale our machine learning models using these and other data sets to develop net-new capabilities that don’t currently exist!
The Experience You’ll Need
- Expert knowledge of deep learning theory and practice including the ability to:
- Experience working with biological data (microscopy, genetics, rnaSeq, etc.)
- Contribute to the development or implementation of deep learning algorithms and architectures, particularly leveraging self-supervised learning
- Run large scale experiments evaluating 100s of hyper parameters
- Run and interpret benchmarks for assessing model performance
- Contribute to conference and journal publications
- Tools: PyTorch, NumPy, Pandas, GCP, Hybrid Cloud, Linux, CUDA, Docker, Kubernetes, BigQuery, large scale distributed systems
The Values That We Hope You Share:
- We Care: We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work.
- We Learn: Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress.
- We Deliver: We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover.
- Act Boldly with Integrity: No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking.
- We are One Recursion: We operate with a ’company first, team second’ mentality. Our success comes from working as one interdisciplinary team.
Recursion spends time and energy connecting every aspect of work to these values. They aren’t static, but regularly discussed and questioned because we make decisions rooted in those values in our day-to-day work. You can read more about our values and how we live them every day here.
More About Recursion
Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale — up to millions of wet lab experiments weekly — and massive computational scale — owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine.
Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in London, Toronto, Montreal and the San Francisco Bay Area. Learn more at www.Recursion.com, or connect on X (formerly Twitter) and LinkedIn.
Recursion is an Equal Opportunity Employer that values diversity and inclusion. 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.
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.
