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Netflix Machine Learning Engineer - Content Studio United States, California 30716563
23.06.2024
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Netflix is revolutionizing the entertainment industry with world-class technology. We serve 260+ million members across 190+ countries, delivering great movies & TV shows every month in 30+ languages. To meet our members’ entertainment needs, Netflix has invested in scaled Content Production & Promotion workflows. With assistance from creative supervision and member feedback data, we have built that use technologies like Computer Vision, Graphics, Machine Learning & Generative Algorithms to our creators to tell the best version of the story they want while allowing our studio to scale further.
Responsibilities:
- Build ML models that push state-of-the-art either using Netflix’s unique multimodal dataset or algorithmic innovations or both.
- Design and implement state-of-the-art machine learning models for visual, audio and textual data to enhance content understanding and improve content production and promotion processes.
- Collaborate with cross-functional teams, including product managers, engineers and data scientists, to define problem statements, define roadmaps and execute on priorities.
- Communicate complex concepts and the results of analyses with both technical and non-technical stakeholders to influence strategic decisions.
- Stay abreast of the latest developments in the field by attending conferences, reading research papers and implementing promising novel ideas that can impact Studio workflows.
- Engage with the ML community, internal and external, to learn, to teach, to contribute to building a great Netflix brand in ML.
About you:
- You have a strong foundation in machine learning and deep learning, including embedding methods, supervised and unsupervised learning, and deep learning architectures.
- Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on machine learning, artificial intelligence or computer vision.
- Strong programming skills in Python and experience with ML/DL frameworks such as Tensorflow, Keras or PyTorch.
- You have a strong track record of solving complex problems with innovative solutions. You are able to both develop novel algorithms and to adapt existing methods from the literature to new challenges.
- You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences.
- You are collaborative and thrive in fast-paced dynamic environments, contributing positively to the team and company culture.
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.
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