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.

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:
$137,700.00

Maximum:
$275,400.00

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.

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:

07/24/26

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.