AI Machine Learning Engineer - New Grad
What you will do:
Be part of a team whose focus is to solve cutting edge AI problems and deploy 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. Will work on LLM for the Zoom major products.
Build and deploy state of the art ML models for NLP use cases
Build large scale training and inference pipelines
Build and scale realtime 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
Currently pursuing a Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related STEM field with an expectation that degree will be obtained by July 2024 or earlier
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 with the large language models (LLMs) tuning and application
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
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
Salary Range or On Target Earnings:
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Information about Zoom’s benefits is on our careers page here.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.
Zoomies help people stay connected so they can get more done together. We set out to build the best video product for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.
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We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.