Trust & Safety Machine Learning Engineer at Zoom

San Jose, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, CommunicationIndustries

Requirements

5+ Years of professional experience and a Master’s Degree or PhD in Computer Science, AI, Machine Learning, or a related field
Proficient in one or more programming languages such as Python
Proficient in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models
Experience with natural language processing (NLP)
Understand deep learning frameworks such as PyTorch, TensorFlow, or similar
Demonstrate AI dedication through sharing academic or personal AI projects and enthusiasm for new possibilities
Able to effectively collaborate with cross-functional teams and present technical concepts to both technical and non-technical audiences

Responsibilities

Designing, implementing, and optimizing AI/ML algorithms, techniques and solutions to address complex business challenges
Collaborating with cross-functional teams to integrate research findings into scalable engineering solutions that align with business objectives
Participating in code reviews, design discussions, and technical presentations to ensure the quality and reliability of our engineering solutions
Identifying opportunities for improvement in existing systems and proposing innovative solutions to enhance performance, scalability, and reliability
Staying up-to-date with the newest developments in AI/ML research and engineering to continuously improve our technical capabilities

Skills

Key technologies and capabilities for this role

PythonMachine LearningAINLPPyTorchTensorFlowDeep Learning

Questions & Answers

Common questions about this position

What is the salary range for the Trust & Safety Machine Learning Engineer position?

The salary range is a minimum of $137,700 and a maximum of $275,400, with total direct compensation including base salary, bonus, and equity. Starting pay depends on qualifications, experience, and location.

Is this Machine Learning Engineer role remote or office-based?

This information is not specified in the job description.

What skills are required for this Machine Learning Engineer position?

Candidates need 5+ years of professional experience, a Master’s or PhD in Computer Science, AI, or related field, proficiency in Python, machine learning concepts with hands-on model development, NLP experience, and deep learning frameworks like PyTorch or TensorFlow.

What is the team structure like for this role at Zoom?

The engineering team consists of eight specialized departments that function as a highly collaborative, diverse powerhouse, covering software development, machine learning, quality assurance, and more to deliver innovative communication solutions.

How can I stand out when applying for this Machine Learning Engineer role?

Demonstrate AI dedication by sharing academic or personal AI projects, show enthusiasm for new possibilities, and highlight your ability to collaborate with cross-functional teams and present technical concepts to diverse audiences.

Zoom

Video conferencing and online meeting solutions

About Zoom

Zoom provides video conferencing and online meeting solutions that allow users to conduct virtual meetings, webinars, and collaborative sessions. Its main product is video conferencing software, which enables high-quality video and audio communication, along with features like screen sharing, group messaging, and virtual backgrounds. Zoom also offers specialized products for larger events, such as Zoom Webinars and Zoom Events. The company operates on a freemium model, providing basic services for free while charging for advanced features through subscription plans tailored for various users, including businesses, educational institutions, and healthcare providers. Zoom stands out from competitors due to its user-friendly interface, reliable performance, and scalability for different needs, making it a vital tool for remote work, online education, telehealth, and social interactions.

San Jose, CaliforniaHeadquarters

2013Year Founded

$144.5MTotal Funding

IPOCompany Stage

Enterprise Software, Education, HealthcareIndustries

10,001+Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Hybrid Work Options

Flexible Work Hours

Stock Options

Company Equity

Paid Vacation

Paid Sick Leave

Risks

Increased competition from Microsoft Teams and Google Meet threatens Zoom's market share.

Privacy concerns and regulatory scrutiny could impact Zoom's operations and reputation.

Hybrid work models may reduce demand for virtual meetings, affecting Zoom's growth.

Differentiation

Zoom offers a user-friendly interface with reliable performance for virtual meetings.

The platform supports diverse needs, including remote work, education, and telehealth.

Zoom's freemium model attracts a wide range of users with scalable subscription options.

Upsides

Zoom integrates AI tools to enhance virtual meeting effectiveness and productivity.

The expansion of 5G networks improves Zoom's video conferencing quality and accessibility.

Zoom's secure, HIPAA-compliant solutions drive demand in the telehealth sector.

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