Senior Machine Learning Engineer, Applied Computer Vision

If you made a list of all the things your perfect job would have, what would be on it? Would it include a mission that truly justified the word “mission?” Would it involve being part of one of the best scientific research and production labs in the world creating petabytes of insight-rich data? Would it be a place filled with smart people all trying to help you do the best work of your career? Would it have leadership that could see an almost science fiction-like future and was looking to you to get there?

Recursion is the clinical-stage biotechnology company industrializing drug discovery by decoding biology. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset the Recursion Map, a collection of hundreds of billions of searchable inferences across biology and chemistry unconstrained by human bias. 

Recursion has been purpose-built to do things that have quite literally never been done before. And while we have resources and an amazing lab, the secret sauce is our people. They are the ones who make big bets and deal in orders of magnitude instead of thinking incrementally, and the result is clear: Eight years ago, we were doing plate manufacturing by hand. Today, we are able to process and scan more than a million experiments every week. 

You’ll be joining Recursion at an interesting time, both for the company and for the world. The global pandemic has reinforced in everyone’s mind not only the importance of therapeutics, but also the critical value that accelerating every phase of drug discovery can provide. For most, the notion that “patients can’t wait” is abstract; COVID-19 has made this concept all too real for millions, even billions, worldwide. Every week, you’ll work hand-in-glove with our data and science teams, turning 1.8 million+ weekly automated experiments into a map of human biology. 

It is an audacious goal, but it isn’t a dream or science fiction. We’re already doing it.

The Impact You’ll Make

Recursion has built a unique dataset (over 1 million unique biological perturbations profiled in a high-dimensional biological assay, making up nearly 9 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. This Senior Machine Learning Engineer position offers a unique opportunity to use these data and cutting edge machine learning techniques to create meaningful representations of biology that will be used to find therapeutics that positively impact patients lives.

• Design, train and evaluate computer vision (CV) models. You will solve challenging biology problems by designing fit-for-purpose ML models from our massive in-house cellular imaging datasets. 
• Work with a team of ML scientist and engineers to discover, automate, and streamline ML workflows with a mixture of off-the-shelf and custom tooling as needed
• Transfer ML/CV research ideas into production and improve the efficiency of our models
• Design, build and improve the infrastructure and abstractions to support our evolving research needs
• Enable and accelerate the ML/CV efforts to achieve various objectives, spanning dataset curation and preparation, model implementation, training, evaluation, deployment, and monitoring. You will combine your skills in DevOps, data engineering and machine learning to connect the gap from research to production. 

The Team You’ll Join

As a member of the Applied Computer Vision team, you will work closely with other ML scientists and engineers and collaborate cross-functionally with biologists, chemists, data scientists, engineers and product managers in Toronto and Salt Lake City. You will also have the opportunity to collaborate with our research team in Montreal that is housed within the prominent DL research community: Mila.

The experience you'll need

• M.Sc. in engineering, computer science or related discipline is required
• 4+ years of industry experience in applied ML (and preferably computer vision), including building DL models and model deployment 
• Hands-on experience in building computer vision models using standard tools such as Tensorflow, PyTorch, Keras, or OpenCV. Ability to train, evaluate, and debug deep learning models for complex tasks
• Proficient in the full lifecycle of ML and software development in production, including:
• Data preparation & validation, model training, evaluation, validation, and monitoring
• Optimizing, releasing, and maintaining ML products
• Authoring well tested, easily maintained, scalable, documented code, peer reviews, CI/CD
• Experience applying modern ML and statistical methods to large datasets and reasoning about the outcomes. Experience with microscopy/biomedical imaging data, chemical data, or genomic data is a plus. 
• Strong programming skills, especially with Python. 
• Experience with productionizing deep learning / machine learning solutions.
• Collaborate in a team environment across multiple scientific and engineering disciplines, making the architectural trade-offs required to rapidly deliver machine learning solutions.
• Curiosity and the professional skill-set to excel in an open, highly collaborative environment.
• Bonus: familiarity with containerization, dockerization, GCP infrastructure, and Kubernetes

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