高级机器学习工程师，Economist
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Senior Machine Learning Engineer, EconomistInstacart · Canada - Remote (ON, AB, BC, or NS Only)
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职位描述
机器翻译我们正在改变食品杂货行业
在Instacart，我们邀请全世界通过食物分享爱，因为我们相信每个人都应该能够获得他们喜爱的食物，并有更多时间一起享用。别人看到的是简单的食品杂货配送需求，我们看到的却是令人兴奋的复杂性和无限机会，来服务我们社区多样化的需求。我们致力于提供一项客户赖以获取食品杂货和家庭用品的必要服务，同时也为Instacart Personal Shoppers提供安全且灵活的赚钱机会。
Instacart已成为数百万人的生命线，我们正在组建团队，帮助推动我们的购物车向前。如果你准备好做你一生中最好的工作，欢迎加入我们的餐桌。
Instacart是一个Flex First团队
对于如何最好地工作，没有一刀切的方法。我们的员工可以灵活选择在哪里发挥最佳工作状态——无论是在家、办公室，还是你最喜欢的咖啡店——同时通过定期的线下活动保持联系并建立社区。进一步了解我们关于工作地点的灵活方式。
概述
作为Economics团队的一名机器学习工程师，你将构建最先进的系统，将严谨的经济学思想与复杂的机器学习算法相结合，以解决公司一些最具挑战性的问题。在一个横向团队中工作，你将有机会与多个职能的合作伙伴紧密协作，处理高度多样化的问题，在充满激动人心机会的快节奏环境中，贡献经济学和工程方面的专业知识，适合具有技术思维的经济学家。
Instacart的Economics团队致力于解决我们平台上一系列有趣且具有挑战性的问题，从协调我们多边市场中的激励，到分析价格和产品展示在客户决策中的作用。我们团队的一些核心关注领域包括匹配与物流、在线广告、提升与长期价值建模，以及一般因果推断。查看这篇博客文章以了解更多。
关于该职位
• 设计、开发和部署机器学习解决方案，以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协作，深入理解业务需求并创造有影响力的解决方案。
• 通过不断改进和推进我们的算法与模型，推动我们的运营效率达到新高度。
• 成为Economics团队的积极成员，跨领域分享经验、最佳实践和研究，同时改进和推进我们的算法。
任职要求
我们愿意招聘Machine Learning Engineer II, Economist（应届博士毕业生）或Senior Machine Learning Engineer I, Economist（博士毕业后具备行业经验）。
• 经济学或密切相关领域的学位（硕士或博士）
• 兼具经济理论、应用计量经济学和商业技能，使你能够进入快节奏环境并从第一天起做出贡献。
• 具有将因果推断方法应用于观察性数据集和实验性数据集的经验。
• 理解机器学习算法和技术。
• 较强的编程能力（Python），并熟练掌握数据处理（SQL、Pandas）和机器学习工具（例如scikit-learn、XGBoost）。
• 出色的沟通能力（口头和书面）。
• 自我驱动力和强烈的主人翁意识。
对于Senior Machine Learning Engineer I, Economist职位，我们还期望：
• 1-3年类似职位的行业经验。
• 具有将机器学习模型投入生产环境的经验。
• 具有云计算及相关ML基础设施的经验。
• 经济学或密切相关领域的博士学位，专注于数据密集型问题。
• 相关岗位的实习经验。
• 具有大型语言模型和生成式AI的经验，既包括算法方面，也包括作为日常工具。
• 具有提升建模、上下文老虎机和/或异质性处理效应估计的经验。
#LI-Remote Instacart在我们员工工作的每个地点都提供极具市场竞争力的薪酬和福利。该职位为远程职位，成功候选人的基本薪资范围取决于其长期工作地点。请在此处查看我们的Flex First远程工作政策。目前，我们仅在以下省份招聘：Ontario、Alberta、British Columbia和Nova Scotia。
录用条件可能因许多因素而异，例如候选人的经验和该职位所需的技能。此外，该职位有资格获得新员工股权授予以及年度更新授予。请在此处进一步了解我们的福利。
对于加拿大候选人，成功候选人的基本薪资范围如下。
CAN $180,000 — $190,000 CAD
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
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职位描述
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.
任职要求
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).
• 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.
• 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 . Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.
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 Canadian based candidates, the base pay ranges for a successful candidate are listed below.
CAN $180,000 — $190,000 CAD