Machine Learning Scientist 5
在 Netflix,我们的使命是娱乐世界。我们一起写下一个集 - 推进故事讲述的边界，全球热爱和让难以想象的事情成为现实。我们是一个梦幻团队，沉迷于发现创造力，直觉和尖端技术融合时会发生什么不舒服的兴奋。来做接下来的的一部分。广告数据科学与工程中的需求科学团队在 Netflix 广告增长中发挥着关键作用，通过为业务提供有效吸引，激活和扩展广告商需求来设备。作为媒体规划机器学习科学家，你将在 ML 模型和人工智能代理中工作，这些模式将广告商简介转化为优化的，准备购买的媒体计划。我们正在寻找一个好奇，有动力学习，并渴望与团队其他成员一起建立的一般主义者，而不是已经定居于 ML 的一个角落的人。你会做什么：- 设计和运输生产 ML 模型和对话式 AI 代理，分析广告商请求，帮助卖家进行计划和比较媒体计划选择。- 在时间推移下构建和发展评估和改善代理和模型决策质量系统。- 通过媒体规划建议和代理工作流程与科学家和工程师合作，以实现新能力。- 深入研究模糊的问题，提出方法，并从想法到生产。-基于性能数据和卖方反的推出模型和代理进行回复。- 与技术和非技术利益相关者保持清晰沟通。有好处：- 对运营研究经验。- 关于人工智能工程或机器系统的经验。你是谁：- 高学位 （博士或士）在计算机科学，统计学，数学或相应数量领域。- 建立和运输 ML 模型或系统在生产中体验。- 好奇和激励于跨越 ML 领域学习，不依赖单一专业。- 一个强大的合作伙伴，他通过与他人一起建设而获得能量，而不仅仅是独立。- 舒适的模糊性，能够在最小监督下承担所有权。-熟练掌握 Python 和 SQL. - 热衷于 Netflix 文化并兼容。一般来说，我们的薪酬结构只包括年度工资；我们没有奖金。你每年都选择了你想要多少薪水比股票选项。确定你的个人市场顶级薪水，我们依靠 Marke
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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.
The Demand Science team within Ads Data Science & Engineering plays a crucial role in Netflix Ads growth by equipping the business to efficiently attract, activate, and scale advertiser demand. As a machine learning scientist in Media Planning, you'll work across the ML models and AI agents that turn advertiser briefs into optimized, ready-to-buy media plans. We're looking for a generalist who's curious, motivated to learn, and eager to build alongside the rest of the team, not someone who's already settled into one corner of ML.
What You'll Do:
- Design and ship production ML models and conversational AI agents that parse advertiser requests and help sellers plan and compare media plan options.
- Build and evolve the systems that evaluate and improve agent and model decision quality over time.
- Partner with scientists and engineers across the media planning recommendation and agent workstreams to ship and iterate on new capabilities.
- Dig into ambiguous problems, propose approaches, and drive them from idea to production.
- Iterate on launched models and agents based on performance data and seller feedback.
- Communicate clearly with both technical and non-technical stakeholders.
Nice to have:
- Experience with operations research.
- Experience with AI engineering or agentic systems.
Who You Are:
- Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Experience building and shipping ML models or systems in production.
- Curious and motivated to learn across ML domains, not attached to a single specialty.
- Strong collaborator who's energized by building alongside others, not just independently.
- Comfortable with ambiguity, able to take ownership with minimal oversight.
- Proficient in Python and SQL.
- Enthusiastic about and compatible with Netflix culture.
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.