Machine Learning Engineer - Trust and Safety

Security

Person, Crowd, Audience, Clothing, Apparel, People

Machine Learning Engineer - Trust and Safety

  • Boston, Massachusetts, United States
  • Full time

Work Styles at Zoom

In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles.

About Us

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 Webinar.

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.

Zoom is in search of a Machine Learning Engineer for its Trust & Safety Engineering (T&S Engineering) team.

T&S handles fraud, complaints of abuse on the platform (such as meeting disruptions), responds to global law enforcement requests, carries out Zoom's export control program, and is building Zoom's arsenal of tools to combat abuse both before and after it happens.

T&S is committed to bringing happiness to customers while creating a culture of trust, safety, and respect. Zoom takes the privacy and security of our customers and their data extremely seriously. Our challenges include carefully balancing the privacy of Zoom customers and users, against the important security interests of our world.

Engineers on the T&S team manage the entire software development lifecycle. With a motivated mindset, our team builds scalable tools and systems to prevent abuse from happening on Zoom, while supporting Zoom's Trust & Safety mission of keeping its users safe.

You will be part of a T&S Engineering team whose focus on ml models if you are passionate about ML and DL technologies and building reputation models for account evaluation and predictive models for detection in area such as ATO, Fraud, etc.

  • Partner with Product and several additional teams to translate high-level roadmap vision into sensible feature specifications and deliverables, while reporting to your Hiring Manager, 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

Qualifications:

  • MS or PhD in Computer Science, Engineering, Statistics, or related fields

  • 3+ years of software engineering experience with 2+ years focus on Machine Learning

  • Fundamentals in Linear Algebra, Statistics and Machine Learning

  • Proficiency in Python or Java

  • Experience on ML models and algorithms such as anomaly detection, clustering, multi-class classification with booster algorithms

Preferred Qualifications

  • Experience with common ML libraries, such as Scikit-learn, TensorFlow, PyTorch and data visualization tools, such as Matplotlib and Seaborn

  • Knowledge and experience on SQL and NoSQL database

  • Knowledge of and experienced with cloud computing and big data platform, such as AWS, Spark, Flink, Hadoop, Hive

  • Passion for learning and continued self-development

Benefits

At Zoom, we care about our employees, their families, and their well-being. 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.

#LI-Remote

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 any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at careers@zoom.us.

Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated.  Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law.

At Zoom, we care about our employees, their families, and their well-being. 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. To view our benefits, click here.

Explore Zoom:

#LI-Remote

Fraudulent Employment Offers

Zoom is aware of scams that involve fake Zoom job listings posted on third-party sites. Responding applicants are contacted primarily over email, InMail and/or chat applications by people impersonating Zoom employees. Eventually a fake offer letter is sent in exchange for personal identification information as part of a fake new-hire screening process.

Please be advised that these offers, communications and impersonations are illegitimate and fraudulent. All communication with Zoom employees come from an “@zoom.us” email address. Zoom job applicants complete an interview process including in-person (on Zoom) meetings and phone calls. Our process also requires you to create an account with our applicant tracking system, Workday. If you have already completed an application, you can access it here. 

Zoom will never ask for your personally identifying information during the interview process or ask you to pay money or purchase equipment. If you have received a message from Zoom that appears suspicious, please contact careers@zoom.us. 

Sign up for job alerts

Find roles that are just the right fit for you, delivered straight to your inbox. The next opportunity you see could become your new career.

Not You?

We have emailed you a code to verify your identity

Thank you for signing up for job alerts from Zoom!

Person, Laptop, Pc, Mouse, Hair, Sitting, Female, Table, Woman, Girl