Partner with Product and several additional teams to translate high-level roadmap vision into sensible feature specifications and deliverables and assisting in the building of a variety of tools and services. Work closely with data engineers and other engineering teams on data analysis, data preparation, and data preprocessing. Research, experiment, and evaluate statistical and machine learning techniques to develop ML models with instincts that satisfy our requirements and security policies. Tr... more details
About the Team:
With eight specialized departments, the engineering team functions as a highly collaborative, diverse powerhouse. Each department mission is to deliver seamless and innovative communication solutions. These range from software development and machine learning to quality assurance teams that work to create and maintain Zoom's user-friendly interfaces and robust infrastructure. The team continues to push the boundaries of communication technology, bringing people together regardless of their physical distance.
Responsibilities:
Partner with Product and several additional teams to translate high-level roadmap vision into sensible feature specifications and deliverables and assisting in the building of a variety of tools and services.
Work closely with data engineers and other engineering teams on data analysis, data preparation, and data preprocessing.
Research, experiment, and evaluate statistical and machine learning techniques to develop ML models with instincts that satisfy our requirements and security policies.
Train, evaluate, and validate ML models using cloud computing platforms.
Serve trained models as prediction services into the production environment.
Follow MLOps best practices to develop and maintain machine learning pipelines that can automate the retraining and deployment of new models.
What we're looking for:
Requires a Master's degree in Computer Science, Computer Information Science, Information, a related field, or a foreign equivalent.
Must have 2 years of experience in job offered or related occupation.
Must have 2 years of experience in Linear Algebra, Statistics and Machine Learning; Python; ML models and algorithms, such as anomaly detection, clustering, multiclass classification with booster algorithms; Building machine learning models, pipeline (java skill), and deployment; Natural language processing, computer vision, data mining; and Tech stack: Scikit-learn, Tensorflow, Pytorch, MLflow, Kubeflow, Databricks, Snowflake.
Telecommuting work arrangement permitted: position may work in various unanticipated locations throughout the U.S.
Company Name: Zoom Video Communications, Inc.
#LI-DNI
Salary Range or On Target Earnings:
Minimum:
$150,000.00
Maximum:
$220,000.00
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.
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.
Good news – this job posting is more like a marathon, not a sprint, so it could be available for a while! We're on the lookout for awesome folks to join Zoom in various similar roles. No need to rush, just hit us up whenever you're ready to apply. We're always keeping an eye out for amazing talent!
