Senior Machine Learning Engineer @ Wework - New York, NY

Job Overview

a month ago

Senior Machine Learning Engineer

Wework - New York, NY

About Us

At WeWork, we provide inspiring and flexible workplace solutions to help businesses - small, medium or large - thrive in more than 150 cities globally. The future of work is happening right now, and we are leading this moment. United by a common purpose, here we will empower tomorrow’s world at work. Join us on our journey as we give our members the freedom and support to push boundaries in their industries, and work to redefine our own.

About The Opportunity

Are you excited by the prospect of creating state-of-art algorithms to solve real world problems? Do you like to own end-to-end business problems/metrics that directly impact the profitability of the company? Areas we are working on are diverse and include NLP, Time-Series Analysis, Deep Learning, Reinforcement learning, Recommender Systems and more. Come join a team of scientists who use machine learning and AI to help WeWork scale.


Responsibilities

  • You will work with large, complex data sets to develop advanced analytical methods, mathematical modeling, and large-scale implementation strategies

  • You can experiment and develop machine learning algorithms for tasks including demand forecasting, elasticity calculations, and inventory optimization

  • You will take ownership of whole end-to-end predictive modeling projects - from data processing, training, optimization to real-time monitoring and maintenance

  • You will design and develop end-to-end distributed Deep Learning based Computer Vision systems

  • You will research and analyze advancements in Representation Learning

Requirements

  • M.Sc / PhD in Statistics, Machine Learning, Computer Science, Operational Research, or in a highly quantitative field

  • 5+ years of hands-on experience in predictive modeling, large data sets and related technologies

  • Expert level experience in Python

  • Experience developing and deploying Pytorch based DL models

  • Experience developing and deploying distributed data systems into Kubernetes & GCP

  • Deep understanding of advanced theoretical statistics

  • Expertise in specialized areas such as NLP, Probabilistic Inference, Machine Learning, Neural Nets, Information Retrieval, Recommendation Systems, Optimization.

  • Understanding Deep Learning methods- an advantage

  • Experience in Spark - an advantage

  • Experience in Beam - an advantage

  • Problem-solving ability

  • Good communication skills, ability to work with large cross-functional teams of technical and non-technical members.

Life At WeWork

Being a WeWorker is more than just a job. We believe the magic of work is sparked by the passion you bring, the places you go, the people you meet and the purpose you follow. And it starts here. Here you will brush shoulders with those who dare to dream and do. Here you will be welcomed by a diverse community that embraces and inspires you—because together we can achieve more. Here we challenge ideas, and explore new ways of getting things done. Whether you are part of our Employee Community Groups, or part of a global project, we ask you to bring your open-minded attitude and collaborative spirit. In return, you will be part of a team where your unique perspectives are celebrated.

WeWork is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon gender, sexual orientation, marital or civil status, pregnancy (or pregnancy-related conditions), gender identity or expression, transgender status or gender reassignment, race, color, national origin or ancestry, citizenship, religion or religious beliefs, age, physical or mental disability, genetic information (including genetic testing and characteristics), military or veteran status, or any other grounds or characteristic that is protected under the law.

As part of our commitment to health and safety, WeWork - like a growing number of employers - is requiring all U.S. employees to be fully vaccinated for COVID-19 as a condition of employment, absent a legal exception for reasonable accommodation. We provide unvaccinated new hires a 45-day grace period after their start date to get fully vaccinated or, if eligible, obtain a reasonable accommodation. If you believe that a legal exception may apply to you, please still apply for any role(s) you are interested in and, if you are hired, you will receive instructions on how to request a reasonable accommodation after your start date. Please note that roles that require in-person work - currently, within our Community (excluding Member Experience), Facilities Management (including Security), Sales (excluding Sales Ops), and Member Technology teams - will not be eligible for work-from-home as an accommodation because it poses an undue hardship on our business.

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