Machine Learning Engineer

As a Machine Learning Engineer on our GenAI Engineering team, you will play a critical role in shaping the future of Zoom AI through innovative engineering solutions. You’ll take the lead in developing and enhancing AI algorithms, techniques, and solutions for our AI Companion product. Working closely with experienced researchers and engineers, you’ll be part of a dynamic team dedicated to achieving groundbreaking results.

About the Team 

The GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion functionalities. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.

Responsibilities

• Designing, implementing, and optimizing GenAI algorithms, techniques and solutions to address complex business challenges.
• Collaborating with cross-functional teams to integrate research findings into scalable engineering solutions that align with business objectives.
• Participating in code reviews, design discussions, and technical presentations to ensure the quality and reliability of our engineering solutions.
• Identifying opportunities for improvement in existing systems and proposing innovative solutions to enhance performance, scalability, and reliability.
• Staying up-to-date with the newest developments in GenAI research and engineering to continuously improve our technical capabilities.

What we’re looking for  

• Possess a Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Distributed Systems, or a related field.
• Be proficient in one or more programming languages such as Python, C, C++, or CUDA, with experience in building scalable software systems.
• Understand deep learning frameworks such as PyTorch, TensorFlow, or similar.
• Demonstrate AI dedication through sharing academic or personal AI projects and enthusiasm for new possibilities.
• Able to effectively collaborate with cross-functional teams and present technical concepts to both technical and non-technical audiences.

Salary Range or On Target Earnings:

Minimum:

$127,700.00

Maximum:

$255,400.00