Machine Learning Engineer, Zoom

$170.2-215.1k

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.

AWS

Docker

Kubernetes

Python

Tensorflow

SpaCy

PyTorch

REST API

Junior and Mid level

San Francisco Bay Area

More information about location

Office located in San Jose, CA

Work platform for human connection

Job no longer available

Work platform for human connection

1001+ employees

B2CB2BCommunicationTelecommunicationsVideo

Job no longer available

$170.2-215.1k

AWS

Docker

Kubernetes

Python

Tensorflow

SpaCy

PyTorch

REST API

Junior and Mid level

San Francisco Bay Area

More information about location

Office located in San Jose, CA

1001+ employees

B2CB2BCommunicationTelecommunicationsVideo

Company mission

To help people connect, collaborate, and get more work done, together.

Job

Company

Role

Who you are

Requires a Master's degree in Computer Science, Computational Science, a related field, or a foreign equivalent
Must have 1 year of experience in job offered or related occupation
Must have 1 year of experience in Python
Must have 1 year of experience in one or more of the following: Natural Language Understanding, Natural Language Generation, Intent detection, topic modeling and segmentation, training/fine tuning large language models, transformer
Must have 1 year of experience in Machine Learning toolkits such as (TensorFlow, PyTorch, Spacy, etc.)
Must have 1 year of experience in distributed training and performance optimization on GPU’s
Must have 1 year of experience in working on multi-modal ML
Must have 1 year of experience in Large-scale data processing and distributed systems; and
Must have 1 year of experience in Microservice, Docker, Kubernetes, REST API, AWS
Telecommuting work arrangement permitted: position may work in various unanticipated locations throughout the U.S. No domestic or international travel required

What the job involves

Build and deploy machine learning models for customer use cases with some level of supervision
Research state-of-the-art machine learning algorithms to advance Zoom’s product
Take ML models from research all the way to production
Collaborate effectively with other engineers on projects; and
Integrate and support the Machine Learning (ML) services with product and operations teams

Our take

Zoom reworked video conferencing when most people assumed it was a solved problem, with services from Cisco and Skype already ubiquitous in workplaces and homes. However, its videoconferencing infrastructure was simpler to use, faster and more flexible than any previous solution, and it swiftly took the world by storm.

Its success bred competition, however, and companies such as Microsoft and Google, along with numerous smaller communications firms, have begun making inroads on Zoom's formerly commanding lead. Additionally, as workplaces are mostly adopting a hybrid or flexible working strategy, some of its importance as a workplace tool is wearing off and it is recording a gradual decline in daily usage rates.

To counter these trends, Zoom is expanding its business offerings through product development and strategic acquisitions. Alongside many other large tech companies, it has battled through a difficult economic situation, but it nonetheless remains a profitable company and household name. Plus, its track record of innovation means it is still very much one to watch in the communications space.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

7% employee growth in 12 months

Glassdoor (3.7)

Trustpilot (1.3)

Company

Funding (last 2 of 5 rounds)

Jan 2017

$100m

SERIES D

Feb 2015

$30m

SERIES C

Total funding: $148.5m

Company benefits

Work from home opportunities
Retirement benefits
My-Time-Off (MTO), an extended vacation policy
Employee Stock Purchase Plan (ESPP) and Restricted Stock Unit (RSU) Equity Program plus Yearly stock grant for all employees
Wellness and fitness reimbursement, wellness resources, Thrive Global wellness app, TaskHuman wellness coaching app
Employee Assistance Program (EAP) including emotional support, financial resources and legal guidance
Paid Parental Leave (both parents) 16 weeks paid leave (or statutory if more generous)
Employer Matching of Charitable contributions up to $500 USD equivalent/year
Annual Zoom Store Allowance
Business Travel Accident Insurance

Company HQ

Downtown San Jose, San Jose, CA

Leadership

Eric Yuan

(CEO & Founder)

Previously VP Engineering at Cisco and WebEx.

Salary benchmarks

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