Overview
On Site
USD 170,000.00 per year
Full Time
Skills
Machine Learning (ML)
Data Science
Content strategy
Audiovisual
Decision-making
Deep learning
Unsupervised learning
Computer science
Electrical engineering
Artificial intelligence
Computer vision
Leadership
Data
Streaming
Art
IMPACT
FOCUS
Analytics
Analytical skill
Collaboration
Design
Audio
Planning
Promotions
Roadmaps
Brand
Research
Workflow
Management
Science
Software development
R
Python
Psychology
Modeling
SQL
Algorithms
SAP BASIS
Military
Job Details
Netflix is one of the world's leading entertainment services with over 260 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
The Content Data Science and Engineering (DSE) team is passionate about storytelling and bringing our members joy. Our mission to entertain the world is anchored in our content, and data is a crucial component in shaping our comprehensive content strategy. Using rich multi-modal data (text, video, audio, and streaming data), we leverage a variety of state-of-the-art ML tools to unlock unique insights that have high cross-company visibility and impact. Our team creates ML-based products focused on understanding and systematizing diverse member experiences and perspectives, that support our content partners in their complex and nuanced decision-making processes. We are a highly collaborative team that partners across Netflix to drive impact.
We are seeking a Machine Learning Scientist to join the team. Your focus will be on developing foundational tools to support member analytics and understanding, including building models, exploring and charting their analytic implications, and developing and supporting high-impact ETLs and downstream tooling. This role features ample opportunity for project ownership and will support impactful decision-making. In success, you will collaborate on existing priorities but also will propose and execute on new opportunities.
In this role, you will:
About you
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.
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 paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of 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.
The Content Data Science and Engineering (DSE) team is passionate about storytelling and bringing our members joy. Our mission to entertain the world is anchored in our content, and data is a crucial component in shaping our comprehensive content strategy. Using rich multi-modal data (text, video, audio, and streaming data), we leverage a variety of state-of-the-art ML tools to unlock unique insights that have high cross-company visibility and impact. Our team creates ML-based products focused on understanding and systematizing diverse member experiences and perspectives, that support our content partners in their complex and nuanced decision-making processes. We are a highly collaborative team that partners across Netflix to drive impact.
We are seeking a Machine Learning Scientist to join the team. Your focus will be on developing foundational tools to support member analytics and understanding, including building models, exploring and charting their analytic implications, and developing and supporting high-impact ETLs and downstream tooling. This role features ample opportunity for project ownership and will support impactful decision-making. In success, you will collaborate on existing priorities but also will propose and execute on new opportunities.
In this role, you will:
- Design and implement state-of-the-art machine learning models for visual, audio, and textual data to enhance content understanding and improve content planning, content production, and promotion processes.
- Collaborate with cross-functional teams, including product managers, engineers, data scientists, consumer researchers, and content teams, 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.
- Engage with the ML community, internal and external, to learn, to teach, to contribute to building a great Netflix brand in ML.
- Stay abreast of the latest developments in the field by attending conferences, reading research papers, and implementing promising novel ideas that can impact content workflows.
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 Ph.D.) in Computer Science, Cognitive Science, Electrical Engineering, or a related technical field with a focus on machine learning, artificial intelligence, or computer vision.
- Strong programming skills in R/Python and experience with appropriate ML, AI, Mathematical Psychology, or Deep Learning modeling frameworks.
- Experience with SQL, or with building end-to-end data pipelines.
- You have a strong track record of solving complex problems with innovative solutions. You are able to both develop novel algorithms and 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 a self-starter who thrives under a high level of autonomy in a fast-paced environment and is enthusiastic about Netflix's unique 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.
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 paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of 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.