研究科学家 5/6 - AI 会员系统
Research Scientist 5/6 – AI for Member Systems
在Netflix，我们的使命是娱乐全世界。我们正在共同书写下一章——突破叙事的边界、全球粉丝文化，将难以想象的事情变为现实。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。
在Netflix，我们的使命是娱乐全世界。这意味着将数十亿人与他们喜爱的电影、电视剧和游戏连接起来。为此，我们投资深入了解我们的会员，并打造世界级的发现和个性化体验。每当一位会员转向Netflix，他们都在依赖我们帮助他们找到下一个最爱的故事——而兑现这一承诺需要在全球范围内使用最先进的机器学习和个性化模型。
Netflix的应用机器学习研究推动着我们业务的各个方面，包括个性化、推荐、搜索、内容理解、消息传递、定向、新会员获取、证据等。因此，我们的研究涵盖了许多人工智能和机器学习领域，包括大型语言模型（LLMs）和其他基础模型、深度学习、搜索和推荐系统、因果推断、强化学习和多臂老虎机、计算机视觉、计算机图形学、自然语言处理和计算广告。
我们正在寻找杰出的人才加入我们的团队，担任全职研究科学家。在此职位中，您将通过构思、设计、实施和验证创新的算法解决方案来推动应用研究。您的工作将涉及探索和应用最先进的AI/ML技术，包括LLM预训练、微调和稳健的离线实验，同时开发可投入生产的系统。
要在这个职位上取得成功，您需要具备人工智能和机器学习的扎实背景，强大的软件工程技能，对持续学习的热情，以及解决实际问题的真实热情。在跨学科团队中的协作至关重要，同时还需要出色的沟通和领导能力。您应擅长设定优先级，并在动态、快节奏的环境中保持强大的执行力。
## 我们寻找：
- 通过应用最前沿的人工智能解决大规模实际问题的强烈热情
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.
At Netflix, our mission is to entertain the world. That means connecting billions of people with movies, TV shows, and games they’ll love. To do this, we invest in deeply understanding our members and building world-class discovery and personalization experiences. Every time a member turns to Netflix, they’re relying on us to help them find their next favorite story—and delivering on that promise requires state-of-the-art machine learning and personalization models at a global scale.
Applied Machine Learning Research at Netflix drives various aspects of our business, including personalization, recommendations, search, content understanding, messaging, targeting, new member acquisition, evidence, etc. As such, our research spans many Artificial Intelligence and Machine Learning areas, including Large Language Models (LLMs) and other foundation models, deep learning, search and recommender systems, causal inference, reinforcement learning and bandits, computer vision, computer graphics, natural language processing, and computational advertising.
We are seeking exceptional individuals to join our team as full-time Research Scientists. In this role, you will drive applied research by conceptualizing, designing, implementing, and validating innovative algorithmic solutions. Your work will involve exploring and applying state-of-the-art AI/ML techniques—including LLM pretraining, fine-tuning, and robust offline experimentation—while developing production-ready systems.
To thrive in this position, you should have a solid background in Artificial Intelligence and Machine Learning, strong software engineering skills, a passion for continuous learning, and a genuine enthusiasm for solving real-world problems. Collaboration within multi-disciplinary teams is essential, as are excellent communication and leadership abilities. You should be adept at setting priorities and maintaining a strong execution focus in a dynamic, fast-paced environment.
## What we are looking for:
- A strong passion for solving real-world problems at scale through the application of cutting-edge Artificial Intelligence and Machine Learning
- Ph. D or Masters in Computer Science, or any of the related fields
- 6+ years of research experience with a track record of delivering quality results
- Deep expertise in machine learning, including both supervised and unsupervised learning, and practical experience in LLM development.
- Demonstrated success in applying LLMs and other Foundation Models to real-world challenges, preferably with experience in post-training LLMs, including fine-tuning and distillation.
- Strong software engineering skills.
- Required: Python, TensorFlow, PyTorch
- Nice to have: Java, Scala, Spark, Hive, Jax, Flink, Hadoop
- Excellent interpersonal, written, and verbal communication skills
## Preferred, but not required:
- Proven experience as a technical leader
- Skilled in collaborating with cross-functional teams
- Research publications in peer-reviewed journals and conferences on relevant topics
- Hands-on experience in distributed training, reinforcement learning-based training of LLMs, conversational agents, and Personalization
- Proficiency with cloud computing platforms and large web-scale distributed systems
- Applied research experience in industrial settings
- Contributions to open source contributions
- Experience in one or more of the following areas: search, natural language processing, knowledge graphs, conversational agents, personalization, and reinforcement learning
## Links:
- [Netflix Research site](https://research.netflix.com/)
- [Our long term business view](https://ir.netflix.net/ir-overview/long-term-view/default.aspx)
**_NOTE: This job posting is inclusive of a variety of positions within our AI for Member Systems (AIMS) Engineering group. Based on your background, expertise and interests, we will route you to the appropriate team(s). All teams may not be hiring at the same time._**
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.