Principal Computer Vision Engineer

United States Digital Space LLC; United States; Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Flexible work locations

Job summary

Arpalus in the United States is seeking a Principal Computer Vision Engineer to join our core AI team. You will craft perception systems that power real-time retail analytics, bridging research and production, and shaping the technical strategy for the AI group.

You'll work hands-on in Python and C++, integrate with mobile teams, and deliver observable, scalable algorithms. We value pragmatic tradeoffs, clear communication, and ownership in a fast-moving environment.

Qualifications

• 6+ years of experience in computer vision, machine learning, or related field.
• Deep expertise in classic CV techniques and modern DL architectures for object detection, classification, and segmentation.
• Production-grade Python development and scalable model training/evaluation pipelines.
• Experience deploying models in resource-constrained or real-time environments.
• Experience collaborating with mobile teams to integrate CV models into SDKs (iOS/Android).

Responsibilities

• Architect and Own: evolve core CV pipelines from research to production deployment.
• Blend classic CV with AI: build robust CV algorithms alongside deep learning.
• Model development: train, evaluate, and fine-tune DL models for detection and segmentation.
• Optimize for production: implement high-performance inference pipelines in Python/C++ with TensorRT/CUDA.
• Technical leadership: standardize training methodologies and balance accuracy, speed, and compute.

Skills

CV/ML experience

OpenCV

PyTorch

Python

Real-time systems

Tools

TensorRT

Job description

We're transforming the grocery industry

At the company, 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 the company Personal Shoppers.

the company 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.

the company is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work — whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

At Arpalus, recently acquired by the company, we build AI-powered computer visionand AR technology that turns a phone camera into a precise sensing tool - real-timeobject 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 VisionEngineer who already works that way too.

You'll join our core AI team and help craft best-in-class perception systems thatpower our real-time retail analytics. You'll solve genuinely hard problems in computervision, bridging the gap between cutting-edge research and highly optimized productionpipelines. You'll work hands-on, architecting solutions that seamlessly blend classiccomputer vision techniques with modern deep learning.

In this role, you'll partner closely with our mobile and backend teams to deliverunique capabilities. As a Principal Computer Vision Engineer, you'll help shape thetechnical strategy for the AI group, influence direction across our training andinference codebases, and ship high-quality, observable algorithms at scale.

We value clear communication, practical problem solving, and ownership. If you thrivein a fast-paced, evolving environment where you can roll up your sleeves, makethoughtful tradeoffs, and see your work move key metrics in real time, you'll feelright at home here.

About the Job

• Architect and Own: Drive the evolution of our core computer vision pipelines, taking algorithms from initial research and training through to highly optimizedproduction deployment.

• Blend Classic & AI: Design and implement robust classic computer vision algorithmsalongside deep learning architectures to solve complex spatial, alignment, andtracking challenges.

• Model Development: Train, evaluate, and fine-tune state-of-the-art deep learningmodels for object detection, classification, and advanced segmentation.

• Optimize for Production: Build and optimize high-performance inference pipelinesin Python and C++, leveraging optimization tools like TensorRT and CUDA to ensurelow-latency execution.

• Technical Leadership: Drive technical excellence across the AI stack, evaluatingnew architectures, standardizing our training methodologies, and making pragmatictradeoffs between accuracy, speed, and compute constraints.

• Deliver End-to-End: Handle technical design, clean architecture, implementation,observability, and iterative improvements of our perception engine.

Minimum Qualifications

• 6+ years of industry experience in computer vision, machine learning, or a related field.

• Deep expertise in classic computer vision techniques, including strong practicalknowledge of optical flow, multi-view geometry, feature matching, and homography estimation (e.g., using OpenCV).

• Strong foundational understanding of modern deep learning architectures, specificallyfor 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 andevaluation pipelines.

• Proven track record of optimizing complex algorithms for deployment inresource-constrained or real-time environments.

Preferred Qualifications

• Familiarity with state-of-the-art segmentation frameworks and zero-shot/foundationmodels (e.g., SAM, Mask2Former, Grounding DINO).

• Experience working alongside mobile teams to integrate computer vision models intonative SDKs (iOS/Android).

• Experience translating computer vision algorithms into Apple frameworks and iOS.

• Background in retail tech or AR-based scanning applications.