
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.
🔥 6 minutes ago
🇺🇸 United States – Remote
💵 $192k - $242.5k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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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.
• 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, GPU/accelerator utilization, and tail latency • Identify system and operating-procedure instabilities to improve availability • Build real-time feature-processing infrastructure and low-latency pipelines for fresh model features • Lead infrastructure for a real-time sequential foundation model, including online sequence feature stores, streaming updates, long-context 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 • Foster continuous improvement and technical excellence
• 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 and/or Go • Expertise with SQL, Spark, and Pandas • Expertise with Torch, TensorFlow, and XGBoost • Strong analytical and problem-solving skills • Excellent verbal and written communication skills • Ability to collaborate with diverse stakeholders across all levels • Willingness to work in new and unfamiliar domains, languages, and problem areas
• Flexible choice of work location: home, office, or coffee shop • Regular in-person events • New hire equity grant • Annual refresh equity grants • Market-competitive compensation and benefits based on work location
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