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Artificial Intelligence Scientist
2 months ago
About Netflix
Netflix stands as a premier global entertainment platform, boasting 278 million paid subscribers across more than 190 nations. Our members enjoy a diverse array of TV shows, films, and games in various genres and languages, with the freedom to watch at their convenience.
The Opportunity
Location: Flexible options available
At Netflix, we are at the forefront of transforming the entertainment landscape through cutting-edge technology. Serving over 270 million members worldwide, we deliver exceptional content monthly in over 30 languages. To cater to our audience's diverse entertainment preferences, we have significantly invested in advanced Content Production and Promotion systems. Leveraging creative insights and member feedback, we have developed tools and methodologies that incorporate technologies such as Computer Vision, Graphics, Machine Learning, and Generative Algorithms. These innovations empower our creators to present their narratives in the most compelling manner while enabling our studios to scale effectively.
The Content & Media ML Foundations team, a vital part of our Data Science and Engineering division, is dedicated to pioneering research and development initiatives that will shape the future of content production and promotion on a global scale. Utilizing rich multi-modal datasets (including text, video, audio, and images), we construct machine learning models and capabilities—such as tailored generative algorithms and multi-modal embeddings—that facilitate unique content comprehension and deliver substantial impact across Netflix.
Your Responsibilities:
- Develop machine learning models that advance the state-of-the-art, utilizing Netflix's unique multimodal datasets or innovative algorithmic approaches.
- Design and implement cutting-edge machine learning frameworks for visual, audio, and textual data to enhance content comprehension and streamline production and promotional processes.
- Collaborate with interdisciplinary teams, including product managers, engineers, and data scientists, to articulate problem statements, outline strategic roadmaps, and prioritize execution.
- Effectively communicate intricate concepts and analytical results to both technical and non-technical stakeholders, influencing key strategic decisions.
- Remain informed about the latest advancements in the field by participating in conferences, reviewing research literature, and applying promising new ideas that can enhance studio workflows.
- Engage with the machine learning community, both internally and externally, to foster learning, share knowledge, and contribute to the development of a strong Netflix brand in machine learning.
Your Profile:
- Solid foundation in machine learning and deep learning, encompassing embedding techniques, supervised and unsupervised learning, and advanced deep learning architectures.
- Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical discipline with a focus on machine learning, artificial intelligence, or computer vision.
- Proficient programming skills in Python, with experience in machine learning/deep learning frameworks such as TensorFlow, Keras, or PyTorch.
- Proven track record of addressing complex challenges with innovative solutions, capable of both developing novel algorithms and adapting existing methodologies to new contexts.
- Exceptional communication skills, adept at conveying complex technical details to diverse audiences.
- A collaborative spirit, thriving in dynamic environments and positively contributing to team and company culture.
Compensation and Benefits:
Our compensation structure is solely based on an annual salary, without bonuses. Each year, you can choose how to allocate your compensation between salary and stock options. To determine your competitive compensation, we consider market indicators alongside your specific job family, background, skills, and experience. The compensation range for this role is between $170,000 and $720,000. Netflix offers a comprehensive benefits package, including health plans, mental health support, a 401(k) retirement plan with employer matching, stock options, disability programs, health savings and flexible spending accounts, family-forming benefits, and life and serious injury benefits. We also provide paid leave programs, with full-time hourly employees accruing 35 days annually for vacation, holidays, and sick leave, while full-time salaried employees enjoy immediate flexible time off.
Commitment to Diversity:
Netflix is committed to fostering a unique culture and environment that values diversity. We recognize that a variety of perspectives and backgrounds strengthens our teams. We approach diversity and inclusion with seriousness and thoughtfulness, ensuring that we do not discriminate based on race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
