机器学习工程师 II，广告 - 响应预测
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Machine Learning Engineer II, Ads - Response PredictionInstacart · Canada - Remote (ON, AB, BC, or NS Only)
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- 雇主官方来源+15
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- 稀有职位+1
- 公司来源健康度+8
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职位描述
机器翻译我们正在变革食品杂货行业
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自己喜爱的食物，并有更多时间一起享用。在别人看到简单的食品杂货配送需求之处，我们看到的是令人兴奋的复杂性和无限的机会，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出色的工作，欢迎加入我们的餐桌。
Instacart 是一个 Flex First 团队
对于如何以最佳状态工作，没有一刀切的方法。我们的员工可以灵活选择在哪里以最佳状态工作——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
岗位职责
作为一名机器学习工程师，你将有机会与团队中的资深工程师和产品负责人紧密合作。你们将共同开发和改进 Instacart 的广告系统。你将使用机器学习，在 Instacart 所有面向消费者的界面和广告生态系统中，针对广告选择、排序、出价和竞价等关键领域设计并优化解决方案。你将积极为各项计划做出贡献，协助机器学习项目从最初概念、原型设计和实验，到最终上线的所有阶段。
任职要求
• 拥有机器学习、统计学、计算机科学、信息检索或密切相关的定量领域的硕士或博士学位。
• 具备强大的编程能力，并熟练掌握数据操作（SQL、Spark、Pandas）和机器学习（经典机器学习和深度学习）工具。
• 具备强大的分析能力和解决问题的能力。
• 是一名优秀的沟通者，能够与各级多元化利益相关者协作。
• 拥有 1-2 年行业经验，使用机器学习解决大规模数据集中的现实问题。
• 了解序列建模、Transformer 架构和 Foundation Model。
• 熟悉 LLM 集成、智能体工作流和生产力工具。
• 具有构建大规模在线推荐系统的经验。
#LI-Remote
Instacart 在员工工作的每个地点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 $154,000 — $162,500 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
岗位职责
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart's ads systems. You will use machine learning to devise and refine solutions in crucial areas such as ads selection, ranking, bidding, and auction across all of Instacart’s consumer facing surfaces and Ads Ecosystems. You will actively contribute to initiatives, assisting in all stages of ML projects from the initial concept, through prototyping and experimentation, to final launch.
任职要求
• Have a graduate degree (masters or PhD) in machine learning, statistics, computer science, information retrieval, or a closely related quantitative field.
• Have strong programming skills and fluency in data manipulation (SQL, Spark, Pandas) and Machine Learning (classical ML and Deep Learning) tools.
• Have strong analytical skills and problem-solving ability.
• Are a strong communicator who can collaborate with diverse stakeholders across all levels.
• Have 1-2 years of industry experience using machine learning to solve real-world problems with large datasets.
• Knowledge of sequential modeling, Transformer architecture and Foundation Model.
• Familiarity with LLM integrations, agentic workflow and productivity tooling.
• Experience in building large scale online recommendation systems.
#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 $154,000 — $162,500 CAD