Machine Learning Engineer - Content & Studio - Remote

Overview

Netflix is seeking a Machine Learning Engineer to contribute to innovative marketing efforts and drive impactful solutions for engaging members and attracting new subscribers through advanced algorithmic tools.

In Short

• Design and implement algorithmic solutions for marketing stakeholders.
• Collaborate with cross-functional teams including product managers and data scientists.
• Communicate complex concepts to technical and non-technical stakeholders.
• Stay updated on advancements in machine learning technologies.
• Contribute to team growth by exploring new project directions.
• Engage with the ML community to enhance Netflix's brand.
• Strong foundation in machine learning and deep learning required.
• Advanced degree in Computer Science or related field preferred.
• Experience with Python and ML/DL frameworks like PyTorch.
• Excellent communication and collaboration skills essential.

Requirements

• Strong foundation in machine learning and deep learning.
• Advanced degree (MS or PhD) in a technical field.
• Programming skills in Python.
• Experience with ML/DL frameworks such as PyTorch.
• Ability to solve complex problems with innovative solutions.
• Entrepreneurial spirit and project initiation skills.
• Excellent communicator for technical and non-technical audiences.
• Collaborative mindset in dynamic environments.
• Alignment with Netflix's culture and values.
• Commitment to diversity and inclusion in the workplace.

Benefits

• Competitive annual salary with flexibility in compensation structure.
• Opportunity to work with cutting-edge technologies.
• Collaborative and innovative work environment.
• Focus on diversity and inclusion within teams.
• Access to a wide range of entertainment content.
• Potential for significant impact on media and marketing strategies.
• Engagement with the global ML community.
• Work from anywhere in the USA.
• Support for personal and professional growth.
• Commitment to creating a meaningful interview experience.