机器学习工程师 II，广告 - 响应预测
Machine Learning Engineer II, Ads - Response Prediction
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，并有更多时间与所爱之人一起享受。当其他人看到的是简单的送货需求时，我们看到了令人兴奋的复杂性和无限的机会，以满足我们社区的各种需求。我们致力于提供客户依赖的必需服务，帮助他们获取杂货和日用品，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，我们正在组建一支团队，帮助推动我们的购物车向前发展。如果你准备好做一生中最好的工作，来加入我们的行列吧。
Instacart是一个以灵活为主导的团队
没有一种方法适用于所有人如何做好工作。我们的员工可以自由选择在何处发挥最佳表现——无论是在家、办公室，还是最喜欢的咖啡店——同时通过定期的线下活动保持联系并建立社区。了解更多关于我们在工作地点上的灵活方式。
简介
职位描述：
作为机器学习工程师，你将有机会与高级工程师和产品负责人紧密合作。你们将共同开发和优化Instacart的广告系统。你将利用机器学习，在广告选择、排序、竞价和拍卖等关键领域设计和优化解决方案，覆盖Instacart所有面向消费者的界面和广告生态系统。你将积极参与各项计划，协助ML项目的各个阶段，从最初的构想，到原型设计和实验，再到最终发布。
团队介绍：
广告响应预测团队负责系统、算法和机器学习模型，确保由Instacart支持的所有平台的用户获得相关且吸引人的广告体验。这包括搜索和探索检索系统、序列建模和生成式检索系统、大语言模型集成、相关性模型、点击率预估模型、竞价模型和基础模型。该团队优化市场效率，确保用户看到有助于他们尝试新产品/品牌的广告，广告商能提高产品销量并获得良好的投资回报，Instacart也能获得应有的收入。
职位描述：
- 设计、开发和部署机器学习解决方案，包括数据管道、模型架构和系统
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
About the Role:
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.
About the Team:
The Ads Response Prediction team owns systems, algorithms and ML models to ensure a relevant and engaging Ads experience to customers of all the platforms powered by Instacart. This includes search and exploration retrieval systems, Sequential Modeling and Generative Retrieval systems, LLM integrations, relevance models, pCTR models, bidding models and Foundation Models. The team optimizes for an efficient marketplace to ensure customers see ads that help them try new products/brands, advertisers boost their product sales for a good return on investment, and instacart generates the deserving revenue as well.
About the Job:
- Design, develop, and deploy machine learning solutions including data pipelines, model architectures and serving integrations to tackle practical challenges in the ads organization.
- Formulate and scope ambiguous modeling problems from first principles. Translate business observations (e.g., miss-calibration patterns, cold-start underperformance) into well-defined ML research directions with clear evaluation criteria.
- Collaborate closely with product managers, data scientists, and infrastructure engineers to deeply understand business needs and create impactful ML applications.
- Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.
- Publish and present findings internally. Contribute to the team’s culture of technical rigor through design reviews, paper sharing, and experiment retrospectives.
About You:
Minimum Qualifications:
- 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.
Preferred Qualifications:
- 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