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Senior Machine Learning Engineer II, Ads Response Prediction at Instacart - ApplyBlast

Senior Machine Learning Engineer II, Ads Response Prediction

Instacart

5 months ago

3.6 on Glassdoor

Remote

Full Time

Senior

1 applicant

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About this role

As a Senior Machine Learning Engineer II on the Ads Response Prediction team at Instacart, you will lead the design and development of core ML models powering the company's ads ecosystem. This research-leaning role focuses on tackling fundamental challenges in pCTR modeling, mitigating data biases, and advancing multi-task learning and sequence modeling capabilities. You will contribute to next-generation foundation models and retrieval systems to optimize customer experiences and advertiser outcomes.

Responsibilities

Lead research and development of pCTR and conversion prediction models
Design and implement debiasing techniques for training data
Contribute to next-generation multi-domain multi-task model architecture
Drive sequence modeling initiatives involving generative retrieval systems
Mentor junior engineers and shape technical direction for modeling teams

Skills

Qualifications

PhD in Machine Learning or related fieldMaster's in Machine Learning or Computer ScienceKDD PublicationWWW PublicationNeurIPS Publication

About Instacart

instacart.careers

Headquarters

San Francisco, California, United States

Company Size

1001-5000 employees

Founded

2012

View Profile

Instacart is a grocery technology company that offers same‑day delivery and pickup by connecting consumers with personal shoppers and local retailers through a digital marketplace. It partners with thousands of national and regional stores to power online storefronts, fulfillment and logistics, and offers a subscription service (Instacart+) alongside merchant tools and advertising solutions. Instacart’s platform combines consumer apps, retail integrations, and data-driven tools for inventory, marketing and operations to help retailers reach customers and shoppers get groceries conveniently. The company’s mission centers on making the food people love accessible and convenient through technology and partnerships.