Senior Machine Learning Engineer Full-time

What you can expect
As a Sr. Machine Learning Engineer at Zoom, you will play a key role in developing and deploying ML models for Go To Market business use cases. You will design, implement, and optimize scalable ML models, build APIs and deploy to production. You will mentor and coach Ml engineers in the team and collaborate with enterprise architects in shaping ML ecosystem. Your work will have a direct impact on sales, success, customer support resulting into Zoom’s growth and driving customer satisfaction and retention.

About the Team
The Data Team drives data-informed decision-making at Zoom, supporting product development with behavioral insights and helping go-to-market teams with risk and buying propensity scores. We aim to deliver better products and sales outcomes while ensuring compliance with privacy and regulatory requirements for millions of users globally.

What we’re looking for

• Possess a BS/MS in Computer Science with at least 8+ years of experience in Software Engineering, Machine Learning, AI, or Data Science
• Possess excellent knowledge of data structures and algorithms with expert level coding using object-oriented principles in Java or Python
• Demonstrate an expert-level SQL skills for querying and manipulating data using Snowflake, along with experience in ML algorithms such as regression, classification, and clustering.
• Have practical experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch and MLOps tools such as MLflow, Kubeflow, or SageMaker
• Experience with deep learning models/neural networks for forecasting and scoring models is highly valued
• Demonstrate hands-on experience with cloud data technologies such as Snowflake, Databricks, Apache Spark, and Apache Airflow
• Have a good understanding of API frameworks such as FAST API and containerization and cloud infrastructure (Docker, Jenkins, CI/CD process)
• Experience implementing model monitoring including data, feature, and model drift; an advantage if these have been used to trigger automatic model retraining
• Experience deploying, maintaining, and monitoring models in production pipelines, with expertise in data engineering, feature engineering, and model evaluation techniques.
• Show excellent communication skills and technical leadership ability to work with cross-functional geo distributed environment

Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.

About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform 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.

Our Commitment
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.

We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

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