Senior Software Engineer II – Ads Quality

🕒 September 25

🇺🇸 United States – Remote

💵 $192k - $202.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.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, develop, and deploy machine learning infrastructure for complex marketplace challenges • Advance the ML training and serving platform with the company-wide ML Foundation team • Optimize training and serving bottlenecks for throughput, cost, latency, and accelerator utilization • Identify system and operating-procedure shortcomings to improve availability • Build real-time feature-processing infrastructure for fresh, low-latency model features • Lead infrastructure for a real-time sequential foundation model, including online sequence feature stores, streaming updates, low-latency serving, and training pipelines • Collaborate with product managers, data scientists, and machine learning engineers to co-design systems • Engage stakeholders to align solutions with business goals • Mentor engineers, set technical direction, and conduct code reviews

🎯 Requirements

• Graduate degree (master’s or PhD) in computer science, artificial intelligence, machine learning, operations research, or equivalent self study and experience • 3+ years of industry experience building ML infrastructure or using machine learning to solve real-world problems with large datasets • Deep expertise building, scaling, and managing ML infrastructure for training and/or serving in production • Strong understanding of modern machine learning systems and MLOps • Strong programming skills in Python or Go • Expertise in SQL, Spark, and Pandas • Expertise in Torch, TensorFlow, and XGBoost • Strong analytical and problem-solving skills • Excellent verbal and written communication skills • Ability to collaborate with diverse stakeholders • Preferred: 5+ years of industry experience tech leading ML infrastructure teams • Preferred: experience with model training and serving efficiency, real-time feature processing, streaming systems, online feature stores, sequential modeling, transformer architecture, recommendation systems, foundation models, digital advertising platforms, LLM integrations, prompt engineering, and productivity tooling

🏖️ Benefits

• Flexible work location: home, office, or favorite coffee shop • Regular in-person events • New hire equity grant • Annual refresh grants • Market-competitive compensation and benefits

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