Principal Computer Vision Engineer
About the role
Principal Computer Vision Engineer role at Arpalus (now part of Instacart) focusing on building real-time perception systems for mobile, real-world retail analytics. Blends classical CV with deep learning, leads technical strategy, and ships observable algorithms at scale in a hybrid(work onsite 3 days/week) environment.
Responsibilities
- 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.
- Blend Classic & AI: Design and implement robust classic computer vision algorithms alongside deep learning architectures to solve complex spatial, alignment, and tracking challenges.
- Model Development: Train, evaluate, and fine-tune state-of-the-art deep learning models for object detection, classification, and advanced segmentation.
- 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.
- 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.
- Deliver End-to-End: Handle technical design, clean architecture, implementation, observability, and iterative improvements of our perception engine.
Qualifications
- 6+ years of industry experience in computer vision, machine learning, or a related field.
- 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).
- Strong foundational understanding of modern deep learning architectures, specifically for object detection, image classification, and semantic/instance segmentation.
- Production-level programming skills in Python.
- Extensive hands-on experience with PyTorch and building scalable model training and evaluation pipelines.
- Proven track record of optimizing complex algorithms for deployment in resource-constrained or real-time environments.
Skills

About Instacart
Marketplace for grocery delivery and pickup
Instacart is the North American leader in online grocery and one of the fastest-growing companies in e-commerce. Instacart’s same-day delivery and pickup services bring fresh groceries and everyday essentials to busy people and families across the U.S. and Canada in as fast as an hour. Since its founding in 2012, Instacart has become an essential service for millions of families, while also serving as an immediate, flexible earnings opportunity for hundreds of thousands of shoppers across North America. The company partners with more than 350 retailers and delivers from more than 25,000 stores across more than 5,500 cities in North America. Today, Instacart is accessible to more than 85% of households in the U.S. and more than 70% of households in Canada.
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