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# ML/AI Engineer (Full Time; Multiple Openings)

- **Company:** RingCentral, Inc.
- **Location:** Belmont, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Computer Engineering, Continuous Integration, Data Normalization, Data Structures, Distributed Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Software Architecture, Tensorflow, Azure Machine Learning, Google Cloud, Pytorch, Large Language Models, Deep Learning, Generative AI, AI Platforms, Machine Learning Operations, Virtual Agents, Data Pipelines, Docker, Programming Languages
- **Published:** August 14, 2026
- **Apply:** https://ringcentral.wd1.myworkdayjobs.com/RingCentral_Careers/job/Belmont-California/ML-AI-Engineer--Full-Time--Multiple-Openings-_R078414

## About the Role

* U.S. Master's degree in Data Science, Computer Engineering or a related field, or foreign equivalent, plus two (2) years of related experience, or U.S. Bachelor's degree or equivalent in Data Science, Computer Engineering or a related field plus five (5) years of related experience, is required.
 * Experience with analytics, Machine Learning ("ML"), data science, platform development, data aggregation and analysis, statistical analysis, ML/AI modeling, TensorFlow, PyTorch, Generative AI, NLP, deep learning, statistical methods, GCP, AWS, Azure ML, data structures, algorithms, software architecture, MLOps, ML lifecycle management, CI/CD, and Docker is required.

## Description

This is where you and your skills come in. We're currently looking for: Responsible to support the design, implementation, and optimization of scalable Artificial Intelligence ("AI") and Machine Learning ("ML") solutions.

To succeed in this role you must meet the following requirements:

 * Collaborate with cross-functional teams (Product, Data, Engineering) to develop and implement AI/ML solutions
 * Establish and promote ML Operations and lifecycle management best practices
 * Design, build, and manage scalable ML infrastructure
 * Develop, validate, deploy, and monitor ML models and applications
 * Create and maintain optimized data pipelines
 * Utilize programming languages (Python, R, Scala, Java) and adopt CI/CD best practices, including automation and monitoring
 * Implement state-of-the-art Generative AI models and workflows (ASR, LLM, TTS, RAG, & Search)
 * Stay up to date with emerging ML/AI technologies, frameworks, and best practices
 * Scale and support large distributed systems serving millions of customers daily
 * Maintain and extend RingCentral's internal AI platform
 * Build Agentic AI products to drive business value
 * Bring thought leadership to AI products & services


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