Skill Compatibility Diagnostics
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About the Role
We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Overview
At Arpalus, recently acquired by Instacart, we build AI-powered computer vision and AR technology that turns a phone camera into a precise sensing tool - real-time object detection, scanning, and spatial understanding shipped as a mobile product. Our tech runs on real devices, in real environments, under messy real-world conditions.
We're a small, fast-moving team and we're looking for a Principal Computer Vision Engineer who already works that way too. You'll join our core AI team and help craft best-in-class perception systems that power our real-time retail analytics. You'll solve genuinely hard problems in computer vision, bridging the gap between cutting-edge research and highly optimized production pipelines. You'll work hands-on, architecting solutions that seamlessly blend classic computer vision techniques with modern deep learning.
Key Technical Responsibilities
- check_circle Architect and Own: Drive the evolution of our core computer vision pipelines, taking algorithms from initial research and training through to highly optimized production deployment.
- check_circle Blend Classic & AI: Design and implement robust classic computer vision algorithms alongside deep learning architectures to solve complex spatial, alignment, and tracking challenges.
- check_circle Model Development: Train, evaluate, and fine-tune state-of-the-art deep learning models for object detection, classification, and advanced segmentation.
- check_circle Optimize for Production: Build and optimize high-performance inference pipelines in Python and C++, leveraging optimization tools like TensorRT and CUDA to ensure low-latency execution.
- check_circle Technical Leadership: Drive technical excellence across the AI stack, evaluating new architectures, standardizing our training methodologies, and making pragmatic tradeoffs between accuracy, speed, and compute constraints.
- check_circle Deliver End-to-End: Handle technical design, clean architecture, implementation, observability, and iterative improvements of our perception engine.
Prerequisites & Qualifications
- check 6+ years of industry experience in computer vision, machine learning, or a related field.
- check Deep expertise in classic computer vision techniques, including strong practical knowledge of optical flow, multi-view geometry, feature matching, and homography estimation (e.g., using OpenCV).
- check Strong foundational understanding of modern deep learning architectures, specifically for object detection, image classification, and semantic/instance segmentation.
- check Production-level programming skills in Python.
- check Extensive hands-on experience with PyTorch and building scalable model training and evaluation pipelines.
- check Proven track record of optimizing complex algorithms for deployment in resource-constrained or real-time environments.
About Instacart Greenhouse Board
Verified hiring organization details.
Instacart Greenhouse Board is a remote hiring entity operating within the United States technology and software sector, associated with Instacart's broader recruitment and organizational infrastructure. Instacart is a leading grocery technology company in North America, operating an online grocery shopping and delivery service that connects customers with retailers. The engineering and technology teams at Instacart build and maintain complex distributed systems, logistics platforms, machine learning models for recommendations and search, and scalable web and mobile applications.