Senior Machine Learning Engineer, Digital Twin Platform

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $201k - $253.5k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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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 models for real-time understanding of in-store inventory levels and shelf stocking dynamics • Own the full ML lifecycle from problem framing and data exploration through model training, evaluation, and production deployment • Collaborate with software engineers, computer vision engineers, data scientists, and product leads • Contribute to Digital Twin Platform infrastructure, including retail-partner data ingestion and novel inventory observation systems • Help define the technical direction of the modeling practice • Drive product innovation and deliver measurable business impact at scale

🎯 Requirements

• 5+ years of experience developing and deploying machine learning models in production environments • Strong proficiency in Python • Experience with TensorFlow, PyTorch, or scikit-learn • Experience with large-scale data pipelines and structured and unstructured data at scale • Experience with AWS, GCP, or Azure • Familiarity with ML platform tooling for model training, versioning, and serving • Bachelor's degree or higher in Computer Science, Machine Learning, Statistics, or a related technical field, or equivalent practical experience • Preferred: experience in computer vision, inventory forecasting, demand sensing, or related spatial/temporal modeling • Preferred: familiarity with real-time inference systems and low-latency, high-throughput ML serving • Preferred: experience independently driving projects from conception through production • Preferred: exposure to retail, supply chain, or e-commerce domains • Preferred: experience collaborating with computer vision teams or incorporating vision-based signals into ML systems

🏖️ Benefits

• Flex First flexible work arrangement: employees may work from home, an office, or a coffee shop • Regular in-person events to stay connected and build community • New hire equity grant • Annual refresh equity grants • Market-competitive compensation and benefits