Machine Learning Engineer

$100,000 - $122,200/Yr

Zoom Video Communications

Full-time - Mid Level

Remote

Publishing Industries

About the position

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. 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

• Develop and enhance AI algorithms and techniques for the AI Companion product.
• Collaborate with researchers and engineers to achieve innovative solutions.
• Build scalable software systems using programming languages such as Python, C, C++, or CUDA.
• Utilize deep learning frameworks like PyTorch or TensorFlow in projects.
• Present technical concepts to both technical and non-technical audiences.

Requirements

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Distributed Systems, or a related field.
• Proficiency in one or more programming languages such as Python, C, C++, or CUDA.
• Experience in building scalable software systems.
• Understanding of deep learning frameworks such as PyTorch, TensorFlow, or similar.
• Demonstrated dedication to AI through academic or personal projects.

Nice-to-haves

• Experience with cloud platforms for deploying machine learning models.
• Familiarity with data preprocessing and feature engineering techniques.
• Knowledge of natural language processing (NLP) techniques.

Benefits

• Comprehensive health, dental, and vision insurance.
• 401(k) retirement plan with company matching.
• Flexible work hours and remote work options.
• Generous paid time off and holidays.
• Professional development opportunities and tuition reimbursement.