企业AI与机器学习工程总监
Director, Enterprise AI & Machine Learning Engineering
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,并有更多时间与之共度。当其他人看到简单的杂货配送需求时,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要服务,帮助他们获取杂货和家居用品,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命线,我们正在组建一支团队,帮助推动我们的购物车前进。如果你准备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如何做好工作。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。了解更多关于我们在工作地点方面的灵活方式。
简介
Instacart的企业AI团队正在为零售商打造下一代智能解决方案。我们正在寻找一位企业AI工程与机器学习总监,领导代理AI产品的开发,帮助零售商解决复杂的业务挑战并开辟新的机遇。
在这个职位上,你将处于工程、机器学习、数据科学、产品、咨询和前向部署工程的交汇点。你将直接与零售商和内部利益相关者合作,定义具有雄心的机会,塑造技术战略,并在快速变化、从零到一的产品环境中交付创新解决方案。
这是一个机会,帮助Instacart建立一个新的创新领域,同时带领团队完成整个产品开发生命周期——从识别客户需求和探索新兴技术,到构建、部署和扩展可投入生产的AI系统。
职位描述
- 领导针对Instacart零售合作伙伴需求设计的代理AI解决方案的工程和机器学习策略。
- 建立、指导和激励高绩效的工程和科学团队,创造一个支持技术卓越、实验和强大执行力的环境。
- 直接与零售商、产品负责人、顾问和数据团队合作,共同制定技术方案并推动项目落地。
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
Instacart’s Enterprise AI team is building the next generation of intelligent solutions for retailers. We are seeking a Director of Enterprise AI Engineering and Machine Learning to lead the development of agentic AI products that help retailers solve complex business challenges and unlock new opportunities.
In this role, you will work at the intersection of engineering, machine learning, data science, product, consulting, and forward-deployed engineering. You will partner directly with retailers and internal stakeholders to define ambitious opportunities, shape technical strategy, and deliver innovative solutions in a rapidly evolving, zero-to-one product environment.
This is an opportunity to help establish a new area of innovation at Instacart while leading teams through the full product development lifecycle—from identifying customer needs and exploring emerging technologies to building, deploying, and scaling production-ready AI systems.
About the Job
- Lead the engineering and machine learning strategy for agentic AI solutions designed to address the needs of Instacart’s retail partners.
- Build, mentor, and inspire high-performing engineering and science teams, creating an environment that supports technical excellence, experimentation, and strong execution.
- Partner directly with retailers, product leaders, consultants, data scientists, machine learning engineers, and forward-deployed engineers to translate complex business problems into impactful AI products.
- Guide the development of systems that combine advanced machine learning, data, software engineering, and agentic capabilities, with an emphasis on reliability, scalability, usability, and measurable customer value.
- Establish direction in a zero-to-one product space, balancing long-term technical strategy with the need to move quickly, learn from early deployments, and adapt to changing customer and business requirements.
- Represent Enterprise AI across the organization, communicating tradeoffs, progress, risks, and opportunities to senior stakeholders and building alignment across technical and commercial teams.
You will be joining a fast-paced environment where the technology, customer needs, and product direction will continue to evolve. Success will require comfort with ambiguity, a willingness to engage deeply in both strategy and execution, and the judgment to make thoughtful decisions while building new capabilities from the ground up.
About You
Minimum Qualifications
- Demonstrated experience building and deploying agentic AI, generative AI, or machine learning products in production environments.
- Experience leading engineering, machine learning, data science, or applied science teams through product development and delivery.
- Experience partnering with product, business, customer-facing, and technical stakeholders to define requirements and deliver solutions to complex problems.
- Strong understanding of machine learning development practices, software engineering principles, data systems, and the operational considerations required to scale AI applications.
- Demonstrated ability to set technical direction, prioritize work, manage ambiguity, and deliver results in a fast-changing environment.
Preferred Qualifications
- Deep technical expertise in agentic systems, large language models, machine learning platforms, or related areas of applied artificial intelligence.
- Experience delivering applied machine learning products at significant scale, including systems used by external customers or business partners.
- Experience leading cross-functional initiatives that span engineering, machine learning, data science, product, consulting, and customer-facing teams.
- Experience working directly with retailers, commerce platforms, or other enterprise customers to translate operational challenges into technology solutions.
- A track record of creating clarity and momentum in zero-to-one product environments while maintaining high standards for quality, responsible development, and customer impact.
#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
$313,000—$330,500 CAD