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 is to solve 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.

• Build and deploy state of the art ML models for NLP use cases
• Build large scale training and inference pipelines
• Build and scale relatime ML services which enable Zoom’s products
• Take ML models from Research all the way to production
• Build metrics, dashboards to measure both ML and system performance
• Work closely with the Research teams build required tools and services to make them productive
• Work closely with the product and operations teams to integrate ML services seamlessly into the products
• Work closely with various teams on data acquisition, cleanup and related tooling

Qualifications

• 3+ 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 distributed training and performance optimization on GPU’s
• 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