Machine Learning Engineer @ VIOLA - New York, NY 10014

Job Overview

2 months ago

Machine Learning Engineer

VIOLA - New York, NY 10014

Description Position - Machine Learning EngineerMission StatementThrough single-cell biology, computational biology, and artificial intelligence, Immunai is reprogramming the immune system to develop improved drugs and therapeutics.BackgroundImmunai was founded in December 2018.
We are a multidisciplinary team of immunologists, genomics technologists, computer scientists, engineers, mathematicians and operators singularly focused on solving an audacious challenge.
Backed by some of the leading scientific minds in immunology, oncology, and single cell genomics, we are up for the challenge.Immunai has begun the process of mapping millions of immune cells and their functions in order to build a proprietary data set for clinical immunological data.
The immune system mapping will play an important role in boosting R&D efforts in developing targeted therapies for different diseases.
The company noted that the immune system consists of trillions of cells that are divided into different cell types that perform different functions.
Because of the complexity of the system, it can be difficult to determine how drugs will interact with the immune cells.
This increased understanding can be used to boost clinical response to different cellular therapies.Immunai s mission is to map the immune system with neural networks and transfer learning techniques informed by deep immunology knowledge.
We developed the tools and knowhow to help every immuno-oncology and cell therapy researcher excel at their job.
This helps increase the speed in which drugs are developed and brought to market by elucidating their mechanisms of action and resistance.Location - New York, NYFor details - www.immunai.com, [email protected], train, and debug new supervised and unsupervised models needed throughout our workflowDevelop and maintain production-quality computational pipelines and toolsCollaborate with other specialists on the R&D team (immunologists, computational biologists, and software engineers) to identify new computational opportunities, scope their solution, execute on the plan, and effectively communicate resultsCollaborate with computational biologists and immunologists to generate therapeutic insights from our proprietary methods and data assetsCollaborate across the company to produce polished analyses for external audiencesQualificationsMS in relevant computational and/or biologic field (genetics, computational biology)3+ years of relevant industry experienceProven ability to develop, deploy, and maintain machine learning models in a production environmentExperienced in optimizing model performance and runtimeExperienced in writing high-quality pipeline and notebook codeFluent in Python and modern ML libraries like scikit-learn, pytorch, keras/tensorflowFamiliarity with modern computational tools & infrastructure like AWS/GCP, Docker, gitDemonstrated track record working on a multidisciplinary team to deliver on ambitious projects with incomplete specificationsAdept in ambiguous situations, flexible and comfortable making decisions using minimal available dataComfortable working independently with minimal supervisionBonus: experience analysing (single-cell) genomics datasets, R proficiencyDesired Personal traitsYou want to make an impact on humankindYou prioritize We over I You enjoy getting things done - with super high qualityYou collaborate effectively with people of diverse backgrounds and culturesYou have superior skills and experience, and constantly strive to be world-class in what you doYou constantly challenge your own assumptions, pushing for continuous improvementYou have a growth mindsetYou make decisions that favor the company, not yourself or your teamYou are candid, authentic, and transparent

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