软件工程师 4/5 - 模型服务系统，AI 平台
Software Engineer 4/5 – Model Serving Systems, AI Platform
在Netflix，我们的使命是娱乐全世界。我们正在共同书写下一章——突破叙事、全球粉丝和将难以想象的事情变为现实的边界。我们是一支梦想团队，痴迷于探索创意、直觉和尖端技术融合时会发生什么的令人不安的兴奋感。加入我们，成为未来的一部分。
机器学习/人工智能推动着业务各个领域的创新，从帮助会员选择适合他们的内容，到更好地理解我们的观众和内容片单，再到优化支付处理和其他以收入为导向的项目。构建高度可扩展且具有差异化的人工智能基础设施是加速这一创新的关键。
最近，大语言模型（LLMs）的快速创新极大地推动了个性化领域许多方面的先进技术发展，包括搜索和推荐体验。
### **这个机会**
Model Serving Systems团队提供了我们构建几乎所有面向消费者和工作室的AI/ML应用的计算平台。我们提供所有用于大规模部署AI/ML模型的构建模块，包括实时模型推理和部署平台、确保在线和离线系统之间一致性的基础抽象等。此外，随着我们在个性化多个领域的LLM创新扩展，我们正在为LLM和其他大型基础模型构建模型服务基础设施。
我们正在扩大模型服务系统，以满足不断演变的AI格局的需求。我们正在寻找优秀的工程师来开发和扩展我们的计算基础设施，以支持日益增长的AI需求，推动ML在新业务领域的应用，并推动Netflix的AI/ML创新。我们的系统支撑着Netflix一些最关键的业务模型，我们需要你将我们的AI/ML计划提升到一个新的水平。你将扮演高度跨职能的角色，与其它工程师、产品经理、机器学习工程师以及数据/研究科学家合作。
如果你热衷于构建可扩展、可靠的系统，对在应用AI/ML算法方面突破界限感兴趣，并且处于影响客户屏幕上所见内容的关键堆栈部分，那么我们想与你交谈。
查看英文原文
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to better understanding our audience and our content slate, to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated AI infrastructure is key to accelerating this innovation.
More recently, fast-paced innovation in large language models (LLMs) has greatly helped advance state-of-the-art technology in many areas of personalization, including search and recommendation experiences.
### **The Opportunity**
The Model Serving Systems team provides the computational platform on which we build nearly all our consumer and studio-facing AI/ML applications. We provide all the building blocks to serve AI/ML models at scale, including a real-time model inference and serving platform, foundational abstractions that ensure consistency between online and offline systems, and more. Additionally, as we expand to enable LLM innovation in numerous areas of personalization, we’re building model serving infrastructure for LLMs and other large foundation models.
We're expanding our model serving systems to meet the evolving needs of the evolving AI landscape. We are looking for strong engineers to develop and expand our compute infrastructure to support the growing AI needs, enable the application of ML in new business areas, and drive AI/ML innovation across Netflix. Our systems power some of Netflix's most business-critical models, and we need you to take our AI/ML initiatives to the next level. You will play a highly cross-functional role, partnering with other engineers, product managers, machine learning engineers, and data/research scientists.
If you have a passion for building scalable, robust systems, are interested in pushing the envelope in applying AI/ML algorithms, and operate in a critical part of the stack that strongly influences what our customers see on their screens, then we want to talk to you.
### **You may enjoy working with us if:**
- You strive to embrace best practices and are curious about discovering new and better ways to solve problems.
- You are self-driven and highly motivated to deliver top-tier solutions while learning from and collaborating with Stunning Colleagues.
- You are strongly motivated to pick up new domains and ship high-quality, extensible code.
- You are excited to work in a multidisciplinary environment (engineering, algorithms, data engineering/science, product experimentation).
- You are comfortable working in a team with peers and partners distributed across (US) geographies & time zones.
### **We would love to work with you if:**
- You have experience building high-traffic distributed services and infrastructure for online ML model inference and are familiar with supporting large-scale ML models focusing on high availability and performance.
- You understand scalable model-serving solutions for generative models and LLMs, with skills in reducing latency and costs, and can solve bottlenecks to streamline research-to-production workflows.
- You are proficient in object-oriented programming (preferably Java) and demonstrate engineering excellence in production hosting, including performance tuning, deployment management, and capacity planning.
- You are familiar with deploying ML models using tools like Triton Inference Server, TensorRT, Docker.
- You are experienced working with the public cloud like AWS, Azure, or GCP.
- You are a proactive communicator who promotes best practices in observability and logging.
- You have a BS/MS in Computer Science, Applied Math, Engineering, or a related field.
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 $466,000.00 - $750,000.00. This compensation range will vary based on location.
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 details about our Benefits [here](https://jobs.netflix.com/work-life-philosophy).
Netflix is a unique culture and environment. Learn more [here](https://jobs.netflix.com/culture).
[Inclusion](https://about.netflix.com/en/inclusion) is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity 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.
Job is open for no less than 7 days and will be removed when the position is filled.