Machine Learning Engineer - NLP

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Zoomies help the world connect — and deliver happiness while doing it. We set out to build the best video conferencing product for the enterprise, and today help people communicate better with products like Zoom Phone, Zoom Rooms, Zoom Video Webinars, Zoom Apps, and OnZoom.

 

We’re problem-solvers and self-starters, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to dig deep into impactful projects that are changing the way people communicate, and enjoy opportunities to advance your career in a diverse, inclusive environment. 

 

 

Zoom is an award-winning workplace. We have been recognized by Comparably as #1 CEO, Company Happiness, Benefits, Compensation, Diversity, and more! Not to mention we’ve been awarded by Glassdoor as the 2nd Best US workplace & Best Large Company US CEO in 2018, Wealthfront, and Business Insider. Our culture focuses on delivering happiness, our commitment to transparency, and the tangible benefits we provide our employees and our customers.

 

You will be part of a team whose focus to solve solving cutting edge AI problems and deploying models that constantly advance the state-of-the-art. You will be working across various NLP areas like STT, translation, summarization, sentiment analysis, TTS, and other interesting challenges that are challenging at Zoom's scale. You will be one of the founding members of the team, you will have a unique opportunity to start from scratch and drive the direction of our products.

 

Qualifications

  • 5+ years of experience with Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related field

  • Strong coding skills in Python, C/C++, or Java

  • Experience with one or more of the following: Natural Language Processing, text understanding, classification, ranking systems or similar

  • Experience in Machine Learning toolkits (TensorFlow, PyTorch)

  • Familiarity with large-scale data processing and distributed systems

  • Proven mathematical knowledge; understanding of machine learning, statistics

  • Relevant professional experience with applied data analytics and predictive modeling

Bonus Qualifications

  • Experience framework such as MLflow, Kubeflow, Airflow, Seldon Core, TFServing etc

  • Experience in monitoring and performance analysis of Machine Learning AI and GPU server platforms

  • Expertise in crafting Data Models for high performance and scalability

  • Autoscaling, containers, performance tuning and optimization

  • Experience with Deep Learning for NLP

  • Strong verbal and written communication skills

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Location

We are located North of the DTC area. Just a short drive away you can find trendy restaurants, bars, and the Cherry Creek Reservoir!

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