Machine Learning Research Intern

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We created 13 petabytes of fit-for-purpose biological data. Want to work with it?

At Recursion, our mission is to decode biology to radically improve lives by industrializing drug discovery. This mission includes building the most scalable drug discovery platform in the history of the BioPharma industry with a combination of biological and laboratory expertise, automation engineering, and state-of-the-art computational tools. To this end, we have generated and continue to grow one of the largest biological datasets in existence in our labs—images of billions of cells under millions of biological and chemical perturbations, and a growing dataset of transcriptional profiles generated by next-generation sequencing.

Our team is working to solve some of the hardest, most meaningful problems facing human health today. With treatments for hundreds of diseases in our sights, we’ve built a data science team with domain expertise in computer science, physics, biology, mathematics, applied statistics, and more. Together, we develop the tools and methods to turn our experimental data into treatments for pathologies that affect the lives of countless individuals. Come join us in our mission to decode biology to radically improve lives, while doing the most impactful work of your life.

It is an audacious goal, but it isn’t science fiction. ??It’s something we’re already doing.

The Impact You’ll Make

• Design, train and evaluate models. You will solve challenging drug discovery problems by designing fit-for-purpose ML and statistical models and data splits from our massive in-house datasets – more than 13PB of cellular image data, and growing chemical, transcriptomic, and proteomic datasets – and training these models using our on-premise NVIDIA A100 superpods. You’ll collaborate with biologists, chemists, automation engineers, data engineers, and other scientists to refine these models, possibly generating more data in the process, until they provide a reliable productionized solution.
• Create maps of biology. You will be an essential part of achieving Recursion’s mission to decode biology and radically improve lives by turning our massive datasets into maps of human disease biology that allow drug hunters to quickly and accurately navigate to optimized small molecule therapies for hundreds of diseases.
• Share your work. You will represent Recursion to the scientific community by presenting your work at top conferences and publishing in top scientific journals and conference proceedings.
• Define excellence in execution. You will use your technical knowledge to set a high standard of delivery, impact, learning, and growth across teams at Recursion.

The Team You’ll Join

As a machine learning research intern in our Montreal office at Mila, you will work with other ML scientists and engineers in that office to design and apply state-of-the-art ML methods to solve challenging drug discovery problems. You’ll work cross-functionally with Recursion teams in Salt Lake City and Toronto to accomplish Recursion’s mission. In particular, you’ll help develop Recursion’s de-novo synthesis effort by training graph neural networks to learn about biochemistry. 

The Experience You’ll Need

• Currently enrolled in or recent graduate from a Masters or PhD program in Computer Science or related quantitative field 
• Relevant experience as a researcher, including internships, full-time, or at a lab
• Experience contributing research to machine learning communities, including publishing papers in major conferences or journals (specifically ICML, NeurIPS, ICLR, CVPR, ICCV and associated workshops) 
• Outstanding past projects, publications, and presentations, and a demonstrated ability to communicate results
• Extensive experience using modern technologies to accelerate machine learning (e.g. PyTorch, TensorFlow/Keras, Horovod, etc)
• Experience with graph neural networks, chemical data, or the GFlowNet framework is a plus

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.

Recursion requires all employees to be fully vaccinated for COVID-19 prior to their first date of employment.