Remote AI/ML Software Engineer - ASR & Deep Learning

Zoom; San Jose (CA); Hybrid; USD 265,000 - 332,000; Full time

Job summary

Zoom Communications, Inc. in San Jose, CA seeks a skilled machine learning engineer to develop and optimize ASR-based systems. You will translate algorithms into production-ready code, improve training pipelines on GPU clusters, and collaborate with product teams to deliver scalable, accurate solutions.

Requires a master's degree in CS and 4 years' experience in ASR, Conformer/RNN-T, GPU training, C++, and Python. This is a hybrid role with both on-site and remote work options within the U.S.

Qualifications

• Master's degree in Computer Science, related field, or foreign equivalent.
• 4 years of experience in ASR for live captioning.
• 4 years of experience with Conformer/RNN-T/Transformer encoders and Beam Search.
• 4 years of experience using GPUs across nodes for ASR training.
• 4 years of experience in C++ programming.
• 4 years of experience in Python programming.

Responsibilities

• Design and optimize ML models for new product development, including algorithm development and evaluation.
• Translate algorithms and specs into production-quality code across environments.
• Complete programming, testing and debugging, and documentation for installation and maintenance.
• Apply deep learning to enable computer perception and interactive experiences.

Skills

ASR experience

Conformer / RNN-T

GPUs for ASR training

C++ programming

Python programming

Education

Master's degree in Computer Science or related field

Job description

Zoom Communications, Inc. in San Jose, CA seeks a skilled machine learning engineer to develop and optimize ASR-based systems. You will translate algorithms into production-ready code, improve training pipelines on GPU clusters, and collaborate with product teams to deliver scalable, accurate solutions.

Requires a master's degree in CS and 4 years' experience in ASR, Conformer/RNN-T, GPU training, C++, and Python. This is a hybrid role with both on-site and remote work options within the U.S.