Zoom Communications
Machine Learning Engineer
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Job Description
- Seattle, Washington, United States
- Full time
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
$137,700.00 Maximum:
$275,400.00 In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into c...
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