Senior Applied Scientist II, Ads Optimization

Job not on LinkedIn

🕒 April 8

🏄 California, Connecticut, +2 more states – Remote

🏄 California – Remote 🦌 Connecticut – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote

💵 $201k - $253.5k / year

⏰ Full Time

🟠 Senior

🧬 Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 32%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Instacart

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🍽️ Food & Beverage

📦 Logistics

🛍️ eCommerce

💰 $232M Venture Round on 2021-11

Food & Beverage • Logistics • eCommerce

Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.

📋 Description

• Design and evolve real-time bid optimization systems that translate advertiser goals into optimal auction bids. • Build intelligent budget pacing algorithms that distribute spend across time and auction opportunities. • Develop analytical frameworks connecting bidding, pacing, and budgeting into a coherent optimization objective. • Shape auction mechanics including reserve pricing, multi-slot allocation, and bid-to-price mapping. • Own the full research-to-production loop: diagnose system behavior, formulate hypotheses, design experiments, ship code, and measure impact.

🎯 Requirements

• MS or PhD in operations research, applied mathematics, control systems, computational economics, or a related quantitative field. • 8+ years of experience building and deploying optimization or control systems in production environments. • Strong foundation in feedback control theory, convex and stochastic optimization, auction theory and mechanism design, dynamic programming. • Proficiency in Go, Java, C++, and Python for production systems.

🏖️ Benefits

• Flexible work arrangements • Health insurance • Retirement plans • Professional development opportunities • Stock options