Network Reliability Engineer L5 Live Broadcast jobs at Netflix in United States, Los Angeles

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

| RESPONSIBILITIES

• Act as a high-responsibility service owner for a broad range of enterprise applications

• Relentlessly pursue improvements, with a keen eye for how engineering solutions reduce toil and eliminate manual tasks

• Design, implement, and maintain scalable and reliable infrastructure to support our services

• Develop, test, and deploy API integrations with other platforms and web services

• Implement and improve monitoring and alerting systems to proactively identify and address potential issues

• Partner closely with our Product Management and Netflix Technology Experience teams to identify support-enabling tools (i.e. self-service tools to help our Support teams scale)

• Administer, manage, and configure a variety of internal tools and SaaS applications such as Google Workspace, Slack, and Zendesk

• Partner with existing internal customer teams to assess opportunities for improvement, workflow efficiencies, and engineering solutions

| WE VALUE

• Strong problem-solving skills and the ability to make data-driven decisions

• Passion for engineering principles and developing tools and applications for impact with high quality

• Ability to thrive in a dynamic environment where needs shift and clearly articulate priorities and critical outcomes to your team

• Demonstrated sound judgment by taking a strategic approach to solving technical problems with a holistic view of the business impact

• Collaboration and continuous improvement are fundamental to growing the team’s impact over time

• A desire to learn and readiness to mentor others both within and outside of the team

| SKILLS AND EXPERIENCE

• 5+ years of experience as a Systems Engineer or in a similar role

• Strong scripting and programming skills (Python, Go, Java or JavaScript/)

• Expertise administering and developing solutions for enterprise software platforms like Slack & Google Workspace

• Experience with cloud platforms like AWS, microservices architecture

• Experience with low-code/no-code development platforms like Workato and Okta Workflows

• Experience with incident management and response

• Experience with employee onboarding and offboarding workflows

• Excellent communication & collaboration skills and a continuous improvement mindset

• Proven ability to cultivate relationships through influence

• Proven ability to assess complex issues and implement effective solutions

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 $100,000 - $700,000.

Job is open for no less than 7 days and will be removed when the position is filled.

Responsibilities

• Lead the team designing and deploying our broadcast infrastructure and broadcast operations centers.

• Collaborate with Broadcast Operations, Broadcast Systems, Production, and partners to support live broadcasts.

• Evaluate and guide decisions on IP and new technologies, including cloud and remote productions.

• Develop detailed technical documentation, including schematics, system designs, and user manuals.

• Manage project budgets, cost estimates, and timelines while overseeing multiple projects.

• Maintain production and technical infrastructures, including equipment, content management, and communication systems.

• Experience in reviewing and managing contracts with third-party providers to ensure deliverables

• Design, commission, and implement AV systems, integrating cutting-edge technologies to enhance performance.

• Build and maintain strong relationships with vendors, stakeholders, and partners to ensure effective collaboration and the success of Netflix's live projects, including managing broadcast, master control, and distribution needs.

• Ability to analyze and evaluate vendor proposals and pricing structures to ensure alignment with Netflix's financial objectives.

• Represent Netflix in live production-focused partnerships, fostering productive relationships to support project success and drive new developments. Able to design SLA and partnership strategies.

• Strong negotiation skills to secure favorable terms that align with Netflix's goals and budget constraints. Ability to advocate effectively for Netflix's interests while maintaining positive vendor relationships.

• Act as the escalation point for live event technical issues, supporting high-profile events.

• Identify opportunities for technical and operational efficiencies throughout the broadcast airchain, pursuing solutions from the discovery and project planning phases through to implementation. Evaluate and guide decisions on IP and new technologies, including cloud and remote productions.

• Be able to work with flexible hours based on the live events schedule.

• Some travel will be required to support Netflix’s live technical systems and live events, including weekends and holidays.

Qualifications

• 10+ years of experience in management or supervisory roles in Broadcast Engineering.

• Proven experience in designing and maintaining IP-based and virtualized workflows, facilities, and modern broadcast core technologies such as ST-2110 and NMOS, PTP, JPEG-XS, UHD and HDR workflows, SRT, AVC/HEVC, and Zixi.

• Advanced knowledge of networking fundamentals and IP-based workflows.

• Experience with routing platforms for video, media workflow, video transport, and delivery.

• Understanding of ASI, Baseband video signal workflows, and SMPTE standards.

• Familiarity with transport mediums such as private fiber networks, WAN, Satellite, Cellular Bonding, LEO, etc.

• Deep expertise in broadcast workflow technology and concepts surrounding transmission and contribution feeds, routing, format validation and conversion, closed captioning, SCTE104/35, playout, record, storage, intercom, and monitoring, logging, and alerting strategies and solutions.

• Communicate clearly and effectively with a wide range of stakeholders, including end users, developers, engineers, and executives, both internally and externally.

• Successfully manage multiple long-term projects from start to finish, including coordination with third-party vendors.

• Possess excellent verbal and written communication skills.

• Work independently and think creatively to solve problems.

• Be willing to travel and work flexible hours, including shifts and weekends.

• Demonstrate strong problem-solving skills, with the ability to identify issues and implement effective solutions under pressure.

Nice-to-Have

• Ability to assemble and operate studio, post, and on-air production systems.

• Networking and broadcast industry certifications (CompTIA Network+, Arista/Cisco technology, SBE certifications, AVIXA CTS, etc)

• Expertise in AWS, command line operations (Linux/Windows), and open-source multimedia frameworks.

• Experience with cloud-based infrastructure

• Experience with at least one programming language (Java, Go, Python)

• Experience in Unix (or Unix-based systems), shell scripting, and good SQL knowledge

• Experience with web technologies and distributed systems with microservices architecture

Responsibilities:

• Helping manage external creative agencies, including scheduling meetings, typing up & relaying creative notes

• Helping with internal task management such as helping clean up campaign decks

• Assisting in pre-production phase of marketing shoots, including building talent memos from templates, sending date holds, timeline planning, relaying notes to shoot producers, general admin / logistics work

• Inputting social media assets into Socialite, our asset management system

• Setting up Dropbox links with talent tool-kits, and creating/sending templated social emails to talent reps

• Budget management duties - processing invoices, SOWs, data entry

• Helping field requests from global cross-functional teams – relaying feedback, email follow-ups.

Requirements:

• 3+ years experience working at a network, studio, creative agency or similar entertainment industry environment

• Tech-savvy with absolute proficiency in Google Workplace (formerly G Suite)

• Highly organized, able to effectively prioritize and respond accordingly to the shifting needs of the team

• Self-starter who thrives in a fast-paced setting

• Positive attitude and team player, especially when faced with changing responsibilities

• Comfortable working with executives at all levels of the organization

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 $80,000 - $150,000.

• Common Languages and Tools: Java & other JVM languages, Gradle, Nebula, Spring Boot, JUnit, GraphQL, Kafka, PostgreSQL.

• Implement and manage build solutions that enhance the efficiency and reliability of software delivery.

• Develop and maintain backwards-compatible tools for dependency management and analysis.

• Integrate internal and vendor-provided build and test infrastructure into engineering workflows, focusing on reliability and ease of use.

• Design and develop tools and infrastructure to automatically detect, quarantine, and reproduce flaky tests.

• Create and maintain tools for analysis of distributed tracing tools for test runs.

• Develop and integrate software solutions that provide high-quality synthetic test data generated from captured production traffic and API schema registries.

• Correlate test coverage data with code changes, runtime execution, and trace data for comprehensive reporting.

• Maintain a strong focus on scalability, usability, and reliability in platform design to support a growing cohort of engineers.

• Be willing and able to showcase our team’s offerings to internal audiences

• Consult with other teams about how to best collaborate, integrate, and/or set up solutions for their needs

• Stay informed about industry trends and emerging technologies to ensure Netflix remains at the forefront of build, dependency management, and testing infrastructure.

• A skilled software engineer with experience in developer platform or productivity teams.

• A meticulous software designer who researches and documents technical tradeoffs clearly and concisely.

• A self-motivated and organized individual who can independently drive engineering-wide solutions.

• A proactive communicator who engages effectively with technical and non-technical stakeholders.

• An advocate for strong build, dependency management, and testing practices, with familiarity in popular build tools, test frameworks, code coverage tools, continuous integration systems, and post-deployment verification methods (a healthy contempt for flaky tests is a plus).

• You have shipped and maintained Java code in production.

• You have worked on various technology stacks and are familiar with a variety of ways that software could be designed for different optimizations.

• You have designed and implemented build and dependency management solutions.

• You have built (and tested) custom Gradle plugins.

• You have assembled JVM Spring Boot applications using Gradle.

• You have experience with Nebula, Gradle, Maven, etc, for dependency management.

• You have experience with using and explaining Develocity dashboards.

• You are comfortable working with Zipkin or similar tools in the tracing space.

• You have implemented advanced log, metric, or error stacktrace analysis.

Job is open for no less than 7 days and will be removed when the position is filled.

in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged.

Responsibilities

• Lead multiple cross-functional programs, in collaboration with product, engineering, design, and data science, that deliver technical solutions.

• Provide deep domain expertise to form technical strategies with engineering partners.

• Drive engagement with cross-functional partners, work to decompose requirements into technical execution plans with measurable milestones, effectively optimize scope and schedule, manage cross-functional dependencies, and proactively manage risks.

• Craft clear communication of progress toward goals, reporting status to stakeholders and leadership.

Requirements

• 7+ years of technical program management experience

• Must have Ads domain experience with a preference to manage financial transactions and revenue tracking in the advertising domain.

• Proven experience driving large-scale software projects, managing the definition of technical strategies, and building long-term scalable solutions

• Deep understanding and point of view on product growth and discovery solutions

• Highly skilled, experienced, and enjoys orchestrating multiple programs with many moving parts and creating partnerships with cross-functional teams

• Able to identify gaps in solutions, debate technical approaches and weigh in on product vs. technology tradeoffs

• Excellent written and verbal communication skills, including the ability to clearly articulate business impact and technical constraints tailored to the audience

• Self-starter who enjoys tackling 0 to 1 problem spaces and quickly bringing organization and direction

• Exemplify theby understanding, advocating, and demonstrating its values.

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 $100,000 - $720,000.

We are looking for exceptional individuals to work full-time with us as research scientists. In this role, you will conduct applied research by conceptualizing, designing, implementing, and validating potential algorithmic improvements. This includes researching and applying cutting edge machine learning algorithms, running offline experiments, and building online A/B tests to run in production systems. To be successful in this role, you need a strong machine learning background, solid software development skills, a love of learning, a passion for solving end-user problems and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to handle ambiguity and set priorities, and an execution focus in a dynamic environment.
What we are looking for:

• A burning desire to solve real-world problems at scale by applying Machine Learning.
• PhD or Masters in Computer Science, Statistics, or a related field.
• 5+ years of applied research experience with a track record of delivering quality results.
• Experience in applied research in industrial settings.
• Expertise in machine learning spanning supervised, self-supervised, and bandit learning methods.
• Strong mathematical and problem-solving skills with knowledge of statistical methods.
• Excellent software engineering skills in Python along with Scala or Java or C++ or C#.
• Experience in one or more of the following applied fields: Recommendations, Personalization, long-term reward modeling, Bandits, Transformers.
• Great interpersonal skills including strong written and verbal communication.

Preferred, but not required:

• Experience as a technical leader.
• Experience working with cross-functional teams.
• Experience in one or more of Search, Natural Language Processing, Knowledge Graphs, Conversational Agents, Personalization, and Causal Inference, Reinforcement Learning, etc.
• Experience with cloud computing platforms and large web-scale distributed systems.
• Open source contributions.
• Research publications at peer reviewed journals and conferences on relevant topics.

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 $100,000 - $720,000.

Job is open for no less than 7 days and will be removed when the position is filled.