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In this role, you will:
Design and develop systems and reusable frameworks for the full cycle of ML/AI R&D in the multimedia domain, including data processing, efficient distributed model training with GPUs, and deploying models into creator workflows and production systems.
Collaborate cross-functionally with research scientists, product managers, and creative and business partners to define and prioritize system requirements.
Work closely with ML/CV/Graphics researchers and Studio teams to productionize algorithms and models, and efficiently run human-in-the-loop inference tasks.
Participate in model development and propose scalable designs.
Champion and facilitate software engineering best practices within the team.
About you:
Proven experience in software engineering within a production environment, including proficiency in object-oriented programming (Python, Java, or C++), CI/CD, etc.
Familiarity with ML, CV, GenAI, and/or graphics pipelines, and experience with distributed data processing systems.
Proficient in cloud infrastructure, including S3, Docker containers.
Basic understanding of (multi) GPU training and inference for debugging and performance assessment, and CUDA runtime.
Passionate about transforming ideas into products and enhancing user experience.
Excellent communication and interpersonal skills, with a strong ability to navigate ambiguity.
Bonus experience:
Experience building end-to-end multimedia systems and algorithms.
Deep experience with AWS and understanding of FSx.
Proficiency with deep learning frameworks such as PyTorch and TensorFlow.
Experience in the content creation domain, such as visual effects or animation.
Familiarity with generative models and tools, such as diffusion-based models and ComfyUI.
Knowledge of graphics and VFX tools and/or game engines, such as Unreal, Houdini, or Nuke.
$150,000 - $750,000
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Partner closely with multi-disciplinary team members - Product Design, Content Design, Product Management, Engineering, Research, Operations, and others – to take the business to the next level;
Work across all stages of the design process (user research, ideation, concept development, validation, workflow diagramming, prototyping, final visual design, and implementation support);
Deeply understand users and their needs, including generative user research and exploration;
Create beautiful, emotionally compelling, pixel-perfect mockups and prototypes of the end-to-end user experience;
Conduct usability testing and iterate on designs with users;
Partner with PMs to craft systematic solutions that connect the dots between user needs, data, business goals, and business strategy;
Partner with engineers to build impactful products and features within the constraints of our technology and timeline;
Facilitate collaborative work sessions with all levels of company stakeholders;
Advance the discipline of product design within the organization and with partners and clients.
5+ years of experience in enterprise software product design;
Track record of designing and shipping enterprise experiences that have scaled to thousands of usersand had successful outcomes for global users and the business; Ideally in the areas of GenAI or Creative Tooling
Ability to think at a high level about product strategy and articulate a vision;
Ability to navigate ambiguity, and drive clarity that brings the user, technology, and business together into an actionable roadmap;
Experience connecting the dots across the organization with other related initiatives across the company while driving collaboration;
Exceptional communication skills, in writing and verbally, whether in small group discussions, large-scale presentations, or with executives;
Extraordinary thoughtfulness and craft in interaction design, visual design, and prototyping;
Humble, collaborative approach to partnering with PMs, engineers, and business stakeholders to find the best solution together;
Mastery of Figma’s advanced features such as Autolayout, Variables, DevMode, Responsive Prototypes, etc;
Experience collaborating with machine learning and data science teams to influence algo design from a user-centered lens
Experience working with off-shore development teams and a point of view on how best to collaborate with them.
At Netflix, all roles are expected to exemplify the
An outstanding portfolio, showcasing your strengths in visual design craft, interaction design logic, and the rationale behind your design decisions;
Effective English verbal/written communication and presentation skills, with the ability to successfully articulate design concepts to your team and senior stakeholders;
Strong ability to think technically and collaborate seamlessly with engineers and data scientists as it pertains to understanding the benefits, possibilities, and constraints of common coding languages and machine learning platforms;
Effective time management skills to balance project schedule with fast-paced deadlines;
Strong conceptual thinking that balances user needs, business goals, and feasibility;
Pay Transparency
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 $120,000 - $515,000.
See more detail about our Benefits
Job is open for no less than 7 days and will be removed when the position is filled.

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Provide a wide variety of support functions to Directors within our Experience Design Organization, including but not limited to:
Event planning (e.g. offsites, workshops, conferences, internal team events, etc.)
Travel arrangements (domestic and international)
Expenses
Heavy calendar coordination
Organization and prioritization to be able to handle and process multiple, sometimes competing, requests.
Strong partnership and communications across cross-functional leaders and among Admins and EAs supporting those groups.
Follow up/follow through and execution.
Curiosity about the business context to be able to flag team misalignments or question prioritization.
Set/create limits for the team and push back when requests are unrealistic.
Strong voice on the team and enthusiastic participation.
Proactivity to spot trends and help to bring attention to needs.
Ability to be discrete and handle sensitive information.
The Must-Haves
5+ years of applicable Administrative Assistant experience in a fast paced environment supporting multiple leaders at one time.
Strong instincts around people and organizations with demonstrated ability to influence
Strong conflict resolution and negotiation skills and the ability to collaborate
A willingness to fail fast and learn
Earnest, mature, and ego-free. You welcome candid feedback and can constructively give it as well
When faced with ambiguous situations, using data, intuition, and knowledge to make informed decisions
Ability to adjust to changing priorities, handling new responsibilities, and remaining flexible in a dynamic work environment
Self motivated, quick thinking, and enthusiastic

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Liaise, influence, and build relationships with local/regional business partners to ensure their business’ allocation, adjacency and spatial needs are met, validating yearly headcount projections and short-term spatial programming/technical requirements
Proactively analyze, track, and report space and occupancy trends based on local headcount forecasting, business org changes, and space requirements
Partner with the global S&O Planning, Systems and Analytics teams to strategize long-term occupancy and spatial solutions, develop workplace pilots specific to the region to support hybrid workplaces, and inform best practices for real estate decisions
Partner closely and develop relationships with cross-functional local teams, including Workplace Moves and Design/Construction to support existing sites
Develop move scenarios in collaboration with local Moves teams for existing sites
Perform spatial analysis to proactively drive change in seating strategies, maximizing space utilization
Be a champion of change management for end users - creating, contributing, and maintaining employee resources to navigate workplace strategies (assigned seating, flex seating, hybrid work, etc).
Contribute to presentations for highly visible projects for a wide range of audience (ie: senior leadership), containing but not limited to workplace standards, agile work environments, and campus-wide move migrations
Engage with a variety of business groups (including admins and executive leadership) on conceptual space occupancy plans and recommendations to stakeholders, subsequently preparing block plans or stacking diagrams
Keep up to date with emerging trends and insights with regards to workplace strategy, design, and best practices
Other duties may be assigned
Travel up to 25% of the time
BA/BS degree or equivalent combination of education, training, and experience in Architecture, Interior Architecture, or Space Planning
3+ years of experience in workplace strategy, occupancy, and space planning
Comfortable in a fast-paced, open, collaborative environment
High degree of flexibility and the ability to collaborate, problem solve, and multitask
Proficiency in Google Suite, specifically Sheets, including advanced data manipulation and analysis skills, with the capability to effectively interpret and present data insights.
Experience with CAFM systems (preferably Serraview/Eptura)
Knowledge of ADA requirements and building codes
Ability to read and interpret floor plans and construction documents
Excellent interpersonal communication skills, including with senior leadership
Demonstrated ability to work in a fast-paced, team-based, deadline-oriented environment
Ability to effectively manage complex tasks and prioritize multiple projects and competing priorities
Ability to develop business cases and service requirements while creating and managing strategic alliances
Ability to build internal networks and work cross-functional
Excellent organizational and project management skills
Strong analytical and problem-solving skills
Demonstrated ability to produce reports/documents
Strong presentation and facilitation skills
Generally, 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 $50,000- $190,000.

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Key Responsibilities
Audience Analysis & Presentation:Utilize proprietary and syndicated tools to analyze and present Netflix's audience data, effectively communicating insights to the marketplace and advertiser clients.
Support for Advertising Sales:Assist the Advertising Sales team with research and analytics, including audience data, cultural insights, campaign metrics, and campaign measurement solutions.
Industry & Trend Analysis:Conduct research and analysis on industries, companies, business models, and marketing strategies across key advertiser verticals such as CPG, Retail, Tech, and Telecom to generate market-facing insights on current and emerging trends.
Stakeholder Communication:Maintain effective communication with stakeholders by setting clear timelines and next steps, ensuring timely delivery of project objectives.
Campaign Insights & Optimization:Integrate campaign measurement results to develop compelling narratives, present insights to clients and agencies, and provide guidance on how to shift their investments to Netflix.
Causal Testing & Research Design:Design and execute advanced causal tests for Brand Effectiveness and Incremental Lift, along with quantitative and qualitative research on audiences, industries, and content.
In-Depth Analysis & Insight Generation:Conduct thorough analyses of measurement outputs to deliver comprehensive and actionable insights.
Learning Agendas & Playbooks Development:Contribute to the creation of advertiser and category-specific learning agendas and playbooks, incorporating innovative approaches.
Case Study Development:Develop case studies based on ongoing and completed analyses to highlight successful strategies and outcomes.
Experience & Skills
4-6 years at a Streaming, TV, digital media company, or media / digital agency.
Understanding of quantitative and qualitative methodologies within the advertising landscape.
Experience in research methods and data analysis - 1st party data, customer research, qualitative and quantitative studies.
Strong understanding of methodology, data, and systems from syndicated research providers (e.g. Nielsen Ibope, HR Media, GWI, TGI, comScore).
Understanding of local video audience measurement systems.
Understanding of the competitive streaming and TV marketplace.
Intermediate understanding of digital media ad sales and marketplaces including Direct IO & Programmatic advertising.
Self-starter and self-motivated with strong communication skills and expertise in managing larger-scale, complex projects.
Expertise in advanced measurement methodologies is desirable (Reach & Frequency, Incremental lift, Brand lift, Matched-Market testing, Multi-Cell testing, A/B testing, Marketing Mix Models and bespoke campaign effectiveness studies).
Comfort in analyzing large and disparate data sets to generate strategic and actionable insights.
Proficiency with Microsoft Excel and PowerPoint & Data visualization tools (Tableau is desirable).
Familiarity with Google Docs is desirable.
Familiarity with concepts of database design and SQL is desirable.
Able to communicate effectively in English

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What You Will Do:
Work closely with Product Owners and Customers to design experiences that anticipate customers' needs before they do and make internet-scale engineering easy.
Lead the design of products & services that abstract away underlying system complexities and are used by all of engineering, informing trade-offs between complexity and ease-of-use against Netflix-wide business priorities.
Mentor all levels of Engineers in owning the implementation and rollout of complex features that have an impact across Netflix.
Act as a liaison between Cloud Infrastructure and other organizations to ensure cohesive changes to deliver cost efficiency and low latency.
Set the example for operational excellence, continuously improving incident response, on-call, and other operational practices.
Maintain currency on, if not create, industry trends for new architectures, features, and off-the-shelf services; guide the team’s decision-making regarding incorporating industry trends.
Desired Skills & Experience:
A proven track record of architecting and implementing customer-focused products (large-scale distributed systems) that define and modify infrastructure at a 100M+ user scale.
Excellent communication, negotiation, and relationship-building skills.
Demonstrated ability to drive infrastructure changes at scale
Passion for technology, pragmatic thinking, ability to jump into an ambiguous area and break down complex problems.
Demonstrated technical leadership to empower the team around you and gets the most from diverse stakeholders, including product managers, peer engineers across Netflix, and more.
Hands-on experience with Kubernetes + Containers and/or Networking concepts + protocols
Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
You will be successful if you:
Shine when you have to balance complex customer, engineering, and other stakeholder needs, and are obsessed with optimizing for the customer whenever possible.
Have the ability to define and self-manage cross-functional projects fueled by ambiguous questions.
Are a self-starter, curious, and not afraid to ask when in doubt.
Are a quick learner and excited about learning new technologies.
Advocate thoughtful collaboration, take pride in your work, and enjoy taking full ownership of projects from conception to production.
Have read about
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 $360,000 - $920,000.
Job is open for no less than 7 days and will be removed when the position is filled.

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As a technical leader on the Discovery Innovation Team, you will tackle a wide range of challenges and serve as a vital link across the organization. Your role will involve delving into specific areas when needed to kickstart major initiatives or to assist a team in achieving breakthrough outcomes. Additionally, you will provide the necessary autonomy, support, and feedback to the appointed technical project leaders, enabling them to excel. This position requires versatility to support initiatives at any stage, from ground-zero (0-1) projects to scaling efforts (1-100), as well as refining nearly complete experiments (99.9 to 100).
Responsibilities:
Qualifications:
You may be a good match for this role if 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 $230,000 - $960,000.
Job is open for no less than 7 days and will be removed when the position is filled.

Share
In this role, you will:
Design and develop systems and reusable frameworks for the full cycle of ML/AI R&D in the multimedia domain, including data processing, efficient distributed model training with GPUs, and deploying models into creator workflows and production systems.
Collaborate cross-functionally with research scientists, product managers, and creative and business partners to define and prioritize system requirements.
Work closely with ML/CV/Graphics researchers and Studio teams to productionize algorithms and models, and efficiently run human-in-the-loop inference tasks.
Participate in model development and propose scalable designs.
Champion and facilitate software engineering best practices within the team.
About you:
Proven experience in software engineering within a production environment, including proficiency in object-oriented programming (Python, Java, or C++), CI/CD, etc.
Familiarity with ML, CV, GenAI, and/or graphics pipelines, and experience with distributed data processing systems.
Proficient in cloud infrastructure, including S3, Docker containers.
Basic understanding of (multi) GPU training and inference for debugging and performance assessment, and CUDA runtime.
Passionate about transforming ideas into products and enhancing user experience.
Excellent communication and interpersonal skills, with a strong ability to navigate ambiguity.
Bonus experience:
Experience building end-to-end multimedia systems and algorithms.
Deep experience with AWS and understanding of FSx.
Proficiency with deep learning frameworks such as PyTorch and TensorFlow.
Experience in the content creation domain, such as visual effects or animation.
Familiarity with generative models and tools, such as diffusion-based models and ComfyUI.
Knowledge of graphics and VFX tools and/or game engines, such as Unreal, Houdini, or Nuke.
$150,000 - $750,000
These jobs might be a good fit