Machine Learning Engineer II - Advertiser Optimization

Reposted 7 Hours Ago
4 Locations
Remote
153K-170K Annually
Junior
eCommerce • Food • Software
Instacart is the leading grocery technology company in North America
The Role
As a Machine Learning Engineer II at Instacart, you'll design, develop, and deploy machine learning solutions to solve practical problems. Collaborating closely with product managers and data scientists, you'll improve the reliability of ML systems while focusing on effective incentivization methods. Your work will contribute to the company's growth and sustainability efforts.
Summary Generated by Built In

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 collaborate with senior engineers and product leaders to build the future of Instacart Ads. You will explore and innovate novel machine learning solutions across the ads stack in areas such as ads targeting, bidding and pacing. You will actively contribute to team initiatives, assisting in all stages from initial ideation to prototyping, experimentation, and final implementation.

About the Team:

Instacart Ads is transforming the online grocery shopping experience by seamlessly integrating advanced advertising solutions into our platform. Our Advertiser Optimization team is a passionate group of innovators focused on developing state-of-the-art optimization technologies that boost the efficiency and impact of our advertising ecosystem. Through the use of sophisticated algorithms and machine learning models, the team helps our advertising partners achieve outstanding results while delivering a relevant, engaging experience for customers. We're also at the forefront of integrating Large Language Models (LLMs), unlocking powerful new capabilities that are redefining how brands connect with consumers in the digital grocery space.

About the Job:

  • Design, develop, and deploy machine learning solutions including data pipelines, production models, and serving integrations to tackle practical challenges in the ads organization.
  • Collaborate closely with product managers, data scientists, and infrastructure engineers to deeply understand business needs and create impactful ML applications.
  • Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
  • Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.

About You:

Minimum Qualifications:

  • Have a graduate degree in a technical field (artificial intelligence, machine learning, economics, statistics) or equivalent work experience. 
  • Have 1-2 years of industry experience using machine learning to solve real-world problems with large datasets
  • A deep understanding of machine learning algorithms and techniques, with fluency in modern research and literature
  • Strong programming skills in software engineering (e.g., Python, Go), along with expertise in data manipulation using tools (SQL, Spark, and Pandas), and ML frameworks (XGBoost, Torch, Tensorflow)
  • Strong analytical and problem-solving skills.
  • Excellent communication skills (both verbal and written) and can collaborate with a diverse group of stakeholders across all levels 

Preferred Qualifications:

  • Experience with sequential modeling, transformer architecture, and generative retrieval
  • Familiarity with LLM integrations, prompt engineering, and productivity tooling
  • Experience in building large scale online recommendation systems

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

$153,000$170,000 CAD

What the Team is Saying

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The Company
HQ: San Francisco, CA
3,000 Employees
Hybrid Workplace
Year Founded: 2012

What We Do

Instacart, the leading grocery technology company in North America, works with grocers and retailers to transform how people shop. The company partners with more than 1,500 national, regional, and local retail banners to facilitate online shopping, delivery and pickup services from more than 85,000 stores across North America on the Instacart Marketplace. Instacart makes it possible for millions of people to get the groceries they need from the retailers they love, and for approximately 600,000 Instacart shoppers to earn by picking, packing and delivering orders on their own flexible schedule.

Why Work With Us

We provide the ingredients & inspiration for you to shape the career that nourishes you. Our team is building innovative solutions to never-before-solved business, technical, logistical, service, and creative challenges. If you're ready to do the best work of your life, come join our table.

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Instacart Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

No matter where you choose to work-from our offices, from home, or a mix of both- Instacart employees have the same opportunities to grow their career

Typical time on-site: Flexible
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HQSan Francisco, CA
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New York, NY
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Toronto, Ontario
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