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求人Instacart

Senior Staff Machine Learning Engineer, Content AI & Recommendations

Instacart

Senior Staff Machine Learning Engineer, Content AI & Recommendations

Instacart

United States - Remote

·

Remote

·

Full-time

·

1mo ago

必須スキル

Machine Learning

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 powers millions of shopping journeys every day across one of the largest online grocery catalogs in the world. Machine learning sits at the center of that experience, shaping how customers search, discover, and decide what to buy.

Advances in generative AI create a rare opportunity to rethink how commerce works. Instead of traditional ranking pipelines alone, the next generation of shopping experiences will be powered by intelligent systems that help customers explore products, plan purchases, and discover what they need more naturally.

We are looking for a Senior Staff Machine Learning Engineer to help lead this transformation.

In this role, you will define the technical vision for how machine learning powers the Instacart shopping journey and build systems that move beyond traditional search and recommendation approaches. You will help develop next generation shopping experiences using large language models, agentic AI systems, and large scale personalization.

This is a hands-on IC and technical leadership role at the Director level with no people management responsibilities. You will shape long term technical direction while building production systems that serve millions of customers in real time.

About the Job

  • Define and drive the long term technical vision for Shopping ML across search, discovery, recommendations, and personalization.

  • Lead development of AI systems that fundamentally improve how customers discover products and shop on Instacart.

  • Architect large scale ML systems combining LLM reasoning, retrieval, ranking, recommendation models, and personalization.

  • Build and operate production ML systems powering real time shopping experiences across millions of users and products.

  • Identify foundational ML capabilities that unlock new customer experiences and accelerate experimentation across the organization.

  • Partner with senior leaders across product, engineering, and data science to shape technical strategy and roadmap.

  • Influence company wide ML architecture and contribute to major technical initiatives across Instacart.

  • Mentor senior/staff engineers through design reviews, architecture guidance, and hands-on collaboration.

About You

Minimum Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field, or equivalent industry experience.

  • 10+ years building and operating large scale machine learning systems in production.

  • Proven track record architecting ML systems that power core product experiences at global scale.

  • Deep expertise in areas such as recommendation systems, ranking models, embeddings, representation learning, or search systems.

  • Experience combining generative AI with traditional ML systems such as retrieval, ranking, and personalization.

  • Experience designing ML platforms that support large scale experimentation, training, and deployment.

  • Ability to influence senior engineering and product leaders and drive technical strategy.

  • Experience mentoring engineers and raising the technical bar across teams.

Preferred Qualifications

  • Experience building search, discovery, or recommendation systems for large consumer platforms.

  • Expertise in large language models, agentic AI systems, or tool using AI architectures.

  • Experience fine tuning and distilling LLMs for low latency production systems, balancing model quality, latency, and cost.

  • Experience building ML infrastructure supporting large scale experimentation and model deployment.

  • Background working on e-commerce, marketplaces, or large consumer platforms.

  • Recognized technical leadership through publications, patents, conference talks, or open source contributions.

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.

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 US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ**$313,000—$330,500 USDWA$301,000—$317,500 USDOR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI$287,000—$303,000 USDAll other states$261,000—$275,500 USD**

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模擬応募者数

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Instacartについて

Instacart

Instacart

Public

Maplebear Inc., doing business as Instacart, is an American retail media and delivery company based in San Francisco that operates a grocery delivery and pick-up service in the United States and Canada accessible via a website and mobile app.

1,001-5,000

従業員数

San Francisco that operates a grocery delivery

本社所在地

$39B

企業価値

レビュー

3.5

10件のレビュー

ワークライフバランス

4.2

報酬

3.8

企業文化

3.5

キャリア

2.8

経営陣

2.5

65%

友人に勧める

良い点

Flexible hours and scheduling

Good pay for the work

Great work-life balance

改善点

Pay could be better

Job security concerns

Management unresponsiveness

給与レンジ

1,788件のデータ

Mid/L4

Senior/L5

Staff/L6

Mid/L4 · Data Scientist L4

0件のレポート

$248,100

年収総額

基本給

-

ストック

-

ボーナス

-

$210,885

$285,315

面接体験

5件の面接

難易度

3.6

/ 5

期間

21-35週間

内定率

60%

体験

ポジティブ 40%

普通 60%

ネガティブ 0%

面接プロセス

1

Application Review

2

Recruiter/Phone Screen

3

Technical/Coding Interview

4

System Design Interview

5

Behavioral Interview

6

Onsite/Final Round

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge