Machine Learning Engineer - Cortex Applied Research - User Modeling

  • Twitter
  • 580 California St #1400, San Francisco, CA 94104, USA
  • Nov 09, 2020

Job Description

Job DescriptionThe Cortex Applied Research group was created to support product teams across the company with effectively leveraging Machine Learning to solve customer problems. Importantly, the Applied Research group does not create products and services itself, but exists to partner with product teams to help them take advantage of new advances and techniques. In the User Modeling team we focus on techniques aimed at characterizing user behavior, interests, and their journey using Twitter. We leverage this understanding to help improve some of the main product experiences on the platform. Here are some public examples of previous work at Twitter related to what we work on:ML approaches to ensure healthy conversations on TwitterInvestigations of foreign interference in political conversations.Deep Learning for new user recommendationsEmbeddings for different Twitter entitiesQualificationsMasters, Post-graduate, or PhD in computer science, machine learning, information retrieval, recommendation systems, natural language processing, statistics, math, engineering, operations research, or other quantitative discipline; or equivalent work experience.Good theoretical grounding in core machine learning concepts and techniques.Ability to perform comprehensive literature reviews and provide critical feedback on state-of-the-art solutions and how they may fit to different operating constraints.Experience with a number of ML techniques and frameworks, e.g. data discretization, normalization, sampling, linear regression, decision trees, deep neural networks, bandits, reinforcement learning etc.Strong product understanding and an intuition for how to use modeling to address product needs.Comfort digging into new problem domains, applying a wide variety of tools to diverse problems.Excellent stakeholder communicationOwnership of complex projects from start to finishFamiliarity with one or more DL software frameworks such as Tensorflow, PyTorch.Nice to havesExperience with large-scale systems and data, e.g. Hadoop, distributed systemsPublications in top conferences either theoretical or appliedExperience with one or more of the following:Natural Language ProcessingContent & Context UnderstandingRecommender SystemsGraph / Geometric Deep LearningModel optimisationDeep learningPrediction / Inference (e.g. Bayesian)Online LearningReinforcement LearningUser behavior modelingAdditional InformationWe are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.