דרושים Ml Software Engineer L4/l5 - Media Algorithms ב-Netflix ב-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.

• 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.

We have been changing how people watch shows and movies, enabling seamless on-demand access across a wide variety of streaming devices, from set-top-boxes to mobile devices to TVs . Recently, we have expanded our entertainment offering with Live programming, like the NFL Christmas Day Games, Jake Paul vs. Mike Tyson Fight, and weekly WWE series recently launched in January of 2025 and much more coming.

We're seeking experienced Network Reliability Engineers to help scale and operate the infrastructure that powers these live shows.

As a member of the team you will

• Innovate, design, implement, and operate the infrastructure that supports Live, more particularly live signal acquisition, inspection, validation, and distribution

• Drive continual improvement in monitoring, configuration management, instrumentation, and automation with the primary goal of maintaining highly scalable and reliable live ingest infrastructure

• Utilize infrastructure as code to operate and scale the environment

• Leverage distributed analytic processing technologies to provide service insights

• Partner with other support teams to continuously improve the Netflix experience

• Support Live events and their operations teams as the technical expert at first and as part of your on-call rotation subsequently (travel and weekend work might be needed)

About you

• Preferred - BS in Computer Science, Electrical Engineering, or Computer Engineering (or equivalent professional experience)

• Expert-level knowledge of most networking technologies

• Strong Service Reliability/Operational experience running large-scale infrastructure

• Ability to code and understand basic software engineering principles

• Preferably have expertise in IP based Broadcast technologies and protocols (SMPTE, SCTE, NMOS PTP…)

• Experience in cloud/hybrid based technologies

• Engineering, data-driven mindset, and being comfortable with coding

• Passionate be learning new things, working in new spaces, and sharing this enthusiasm with those around you

• Ability to work in a highly collaborative environment

• Communicate effectively with internal and external partners and deal with ambiguity

• Flexible and adaptable to our ever-evolving ecosystem

• Curious and courageous

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 $100,000 - $720,000.

What you will do in this role:

• Oversee and evolve a suite of content forecasting models to help us understand how our, and our competitors' content is likely to perform over time.

• Understand the interactions between content and various signals of social buzz on the value of Netflix’s catalog.

• Work closely with partner teams to develop usable decision frameworks that leverage these insights to make our content slate better over time

• Hire, inspire, and grow high-performing team members

• Lead innovation at Netflix by leveraging the right state-of-the-art methods in machine learning and statistical inference to solve business problems

This role is for you if:

• You have a proven track record of applying machine learning with industrial scale data

• You excel at thinking through a business problem and solving it by leveraging data, you can then translate those solutions into compelling narratives to help drive adoption.

• You are flexible and able to adapt to a rapidly changing environment – you build teams who can do the same. You embrace risk and are willing to make hard calls and pivot as needed.

• You have deep technical expertise in a variety of modelling approaches including time series, observational causal inference, reinforcement learning and forecasting approaches. This expertise is coupled with the ability to examine tradeoffs amongst potential solutions in order to optimize outcomes for the business. You know how to use a complicated model, but you also know when a linear regression is best.

• You enjoy connecting the dots across a variety of groups and problems, and you enjoy fostering collaborative relationships as much as you enjoy driving deep technical solutions.

• You have a PhD/MS degree in a quantitative field like Operations Research, Economics, or Computer Science and have 10 years of industry experience with at least 3 years of managerial experience.

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 $480,000 - $1,200,000.