Machine Learning Research Engineer for Program Synthesis

Company: X, the moonshot factory
Location: Mountain View, California, United States
Type: Full-time
Posted: 01.AUG.2021

Summary

X is Alphabet's moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improv...

Description

X is Alphabet's moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world's most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.One of X's confidential projects is looking for a SWE with experience in Program Analysis, Deep Learning, Programming Languages and Tooling to optimize software productivity at scale. We believe we can unleash more developer creativity and productivity by teaching code to write and rewrite itself.Responsibilities:Explore novel approaches (ML & other) to optimize software engineering productivityBuild ML infrastructure for code analysis, visualization, and annotationRapidly develop prototypes to evaluate feasibilityOrganize and process large volumes of dataWork cross-functionally with experts at X and Google (e.g. Brain, Google Accelerated Sciences, MLX, etc.) to apply, modify, and develop new algorithms and software tools as the project demandsMinimum Qualifications:A quick learner and a fast and accurate coder (preferably in multiple programming languages)Experience with ML models and TPU serving infrastructureSolid software engineering skills and passionate about SWE productivityBS/MS/PhD in Computer Science, or equivalent fieldAbility to work in a small team / rapid prototyping environment and deal with uncertainty and fluidityPreferred Qualifications:Applied machine learning experience with sequence/graph predictionAptitude in TensorFlowFamiliarity with programming language theory/practices and/or static code analysisExperience working in a startup environment

 
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