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Senior Research Scientist in Computer Vision
2 months ago
About Netflix:
Netflix stands as a premier entertainment platform, boasting 278 million paid subscribers across more than 190 nations, indulging in a diverse array of TV shows, films, and games.
Our Mission:
At Netflix, we aim to captivate audiences worldwide by linking our subscribers with a vast collection of narratives from every corner of the globe.
The Opportunity:
We are transforming global storytelling by connecting over 270 million subscribers in 190+ countries, across 30+ languages, to the films and series they cherish.
A vital aspect of this endeavor is delivering tailored textual insights regarding our content and emphasizing the distinct ways they resonate with varied audiences.
When a Netflix subscriber accesses our application, we have a limited timeframe to assist them in selecting a narrative or game that aligns with their preferences.
Key Responsibilities:
- Develop and execute algorithmic strategies to generate Visual Promotional Media Assets that effectively guide our members in selecting stories or games that will engage them in a cost-efficient manner.
- Collaborate with interdisciplinary teams, including product managers, engineers, and data scientists, to articulate problem statements, outline roadmaps, and prioritize initiatives.
- Convey intricate concepts to both technical and non-technical stakeholders to influence key strategic choices.
- Remain updated on the latest advancements in the field by participating in conferences, reviewing research publications, and applying innovative ideas that can enhance Promo Media processes.
- Foster the growth of the team and domain by exploring new avenues and initiating projects with significant potential for impact.
- Engage with the machine learning community, both internally and externally, to learn, teach, and contribute to building a strong Netflix brand in the ML space.
About You:
- You possess a solid foundation in machine learning and deep learning, encompassing supervised and/or unsupervised learning, deep learning architectures, GANs, and diffusion models.
- You hold an advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical discipline with a focus on Computer Vision.
- You have proficient programming skills in Python and experience with ML/DL frameworks such as PyTorch.
- You have a proven track record of addressing complex challenges with innovative algorithmic solutions in the media and content creation sectors.
- You can both devise novel algorithms and adapt existing methodologies from literature to tackle new challenges.
- You embody an entrepreneurial mindset, capable of weighing risks against rewards, and possess a strong drive to initiate and execute projects with substantial impact.
- You are an exceptional communicator, adept at elucidating complex technical details to both technical and non-technical audiences.
- You thrive in dynamic, fast-paced environments, contributing positively to team and organizational culture.
Compensation and Benefits:
Our compensation structure consists solely of an annual salary; we do not offer bonuses. You have the flexibility to choose how much of your compensation you want in salary versus stock options each year. The salary range for this role is $170,000 - $720,000. Netflix provides comprehensive benefits, including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick leave. Full-time salaried employees are immediately entitled to flexible time off.
Diversity and Inclusion:
Netflix is committed to fostering a unique culture and environment. We celebrate diversity and recognize that a variety of perspectives and backgrounds strengthen our teams. We approach diversity and inclusion with seriousness and thoughtfulness, ensuring we do not discriminate based on race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
