高级机器学习工程师，经济学家
Senior Machine Learning Engineer, Economist
我们正在改变零售行业
在Instacart，我们邀请世界通过食物传递爱，因为我们相信每个人都能获得他们喜爱的食物，并拥有更多时间与所爱之人共度。当其他人看到的只是简单的送货需求时，我们看到的是令人兴奋的复杂性以及满足社区多样化需求的无限机会。我们致力于为客户提供可靠的必需品配送服务，同时为Instacart个人购物者提供安全且灵活的收入机会。
Instacart已成为数百万人的生存线，我们正在组建团队，帮助推动我们的购物车向前发展。如果你准备好做出一生中最好的工作，欢迎加入我们的行列。
Instacart是灵活优先的团队
没有一种方法适用于所有人来完成最佳工作。我们的员工可以自由选择在家中、办公室或最喜欢的咖啡店完成最佳工作，同时通过定期的线下活动保持联系并建立社区感。了解更多关于我们的灵活工作方式的信息。
简介
作为经济学团队的机器学习工程师，你将构建最先进的系统，将严谨的经济思维与复杂的机器学习算法相结合，解决公司最具有挑战性的问题。在跨职能团队中工作，你将有机会与多个部门的合作伙伴紧密合作，处理多样化的复杂问题，在一个充满技术机遇的快节奏环境中，贡献经济和工程方面的专业知识。
Instacart的经济学团队在我们的平台上处理各种有趣且具有挑战性的问题，从协调多边市场中的激励机制到分析价格和商品摆放在客户决策中的作用。我们团队的核心关注领域包括匹配与物流、在线广告、提升效应和长期价值建模，以及一般的因果推断。查看这篇博客文章以了解更多信息。
职位描述
- 设计、开发并部署机器学习解决方案，应对我们复杂市场中的诸多经济挑战。
- 与产品经理、数据科学家和其他工程师紧密合作，深入理解业务需求并创造有影响力解决方案。
- 推动我们运营效率的边界
查看英文原文
We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
Overview
As a machine learning engineer in the Economics team, you will build state-of-the-art systems that blend rigorous economic thought with sophisticated machine learning algorithms to tackle some of the company's most challenging problems. Working in a horizontal team, you will have the opportunity to collaborate closely with partners across multiple functions to operate on a highly diverse set of problems, contributing both economic and engineering expertise in a fast-paced environment filled with exciting opportunities for technically-minded economists.
The Economics team at Instacart works on a range of interesting and challenging problems across our platform, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include matching and logistics, online advertising, uplift and long-term value modeling, and general causal inference. Check out this blog post to learn more.
About the Job
- Design, develop, and deploy machine learning solutions to tackle the many economic challenges in our complex marketplace.
- Collaborate closely with product managers, data scientists, and other engineers to deeply understand business needs and create impactful solutions.
- Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.
- Be an active member of the Economics team, sharing learnings, best practices, and research across domains while refining and advancing our algorithms.
About You
We are open to hiring either a Machine Learning Engineer II, Economist (fresh PhD graduate) or a Senior Machine Learning Engineer I, Economist (post-PhD industry experience).
Minimum Qualifications
- Graduate Degree (Masters or PhD) in Economics or a closely related field
- A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one.
- Experience applying causal inference methodologies to both observational and experimental datasets.
- An understanding of machine learning algorithms and techniques.
- Strong programming skills (Python) and fluency in data manipulation (SQL, Pandas) and machine learning tools (e.g., scikit-learn, XGBoost).
- Excellent communication skills (both verbal and written).
- Self-motivation and a strong sense of ownership.
For Senior Machine Learning Engineer I, Economist hires, we also expect:
- 1-3 years of industry experience in a similar position.
- Experience putting machine learning models into production environments.
- Experience with cloud computing and related ML infrastructure.
Preferred Qualifications
- A PhD in Economics or a closely related field with a focus on data-intense problems.
- Intern experience in related roles.
- Experience with large language models and generative AI, both on the algorithm side as well as a day-to-day tool.
- Experience with uplift modeling, contextual bandits, and/or heterogeneous treatment effect estimation.
#LI-Remote
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.
CA, NY, CT, NJ
$207,000—$218,500 USD
WA
$198,000—$209,000 USD
OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI
$190,000—$200,500 USD
All other states
$173,000—$182,500 USD