What you can expect
We're seeking an experienced Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI to join our AI team. You'll be instrumental in developing and deploying intelligent agent systems that can understand context, make decisions, and execute complex tasks across our platform.
About the Team
The GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion innovations. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.
Responsibilities:
Designing and implementing agent architectures that can reason about tasks, plan actions, and execute solutions.
Developing prompt engineering frameworks and techniques for reliable agent behavior.
Implementing safety mechanisms and oversight protocols for autonomous systems.
Building and maintaining LLM-powered services using models like GPT-4, Claude, and internal models.
Building robust testing frameworks for agent behavior validation.
What we’re looking for:
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, or a related field
Have 5+ years of experience in ML engineering
Exhibit expertise in NLP and transformer architectures
Core stack: Python, Java, C++, or other programming languages for ML development.
Demonstrate programming skills in Python or Java, with deep learning frameworks (PyTorch, Transformers, LangChain
Have experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or similar.
Have experience with cloud infrastructure stack (Kubernetes, Docker, AWS)
Salary Range or On Target Earnings:
Minimum:
$137,700.00Maximum:
$275,400.00In 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.
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
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!
Anticipated Position Close Date:
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. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.
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.
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.
Skills Required
- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, or related field
- 5+ years of experience in ML engineering
- Expertise in NLP and transformer architectures
- Proficiency with Python, Java, C++, or other programming languages for ML development
- Programming experience with Python or Java and deep learning frameworks (PyTorch, Transformers, LangChain)
- Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar
- Experience building LLM-powered services using models like GPT-4, Claude, or internal models
- Experience with prompt engineering and developing agent architectures
- Experience implementing safety mechanisms and oversight protocols for autonomous systems
- Experience with cloud infrastructure (Kubernetes, Docker, AWS)
- Experience building and maintaining testing frameworks for agent behavior validation
Zoom Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoom and has not been reviewed or approved by Zoom.
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Healthcare Strength — Health coverage includes multiple plan options with employer-paid life and disability, plus free dental and vision for employees and dependents. This breadth signals strong protection across core medical needs.
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Equity Value & Accessibility — Equity via RSUs and an ESPP is a meaningful part of total compensation. Stock-based rewards are positioned as a strong contributor to overall value.
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Leave & Time Off Breadth — Flexible vacation for exempt roles, PTO accrual for hourly roles, and company holidays provide broad time-off coverage. Paid parental leave, family-forming support, and wellbeing resources further expand leave-related support.
Zoom Insights
What We Do
Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom platform you know and love. 💙 Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like AI Companion, Team Chat, Contact Center, Phone, Events, Rooms, Webinar, and more, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses. We do what we do because of our core value of Care: care for our community, our customers, our company, our teammates, and ourselves. Our global employees help our customers meet happier, communicate better, and create meaningful connections the world over. Zoomies are problem-solvers and self-starters, working hard to get results and moving quickly to design solutions with our customers and users in mind. Here, you’ll work across teams to dig deep into impactful projects that are changing the way people communicate, and find room to grow with opportunities to stretch your skills and advance your career in a diverse, inclusive environment. Learn more about careers at Zoom by visiting our careers site: https://careers.zoom.us/home
