Computer Vision Engineer
Pratt & Whitney, an RTX business, is a world leader in the design, manufacture and service of aircraft engines and auxiliary power units for commercial, military and business aircraft. Through industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon – RTX pushes the limits of technology and science to redefine how we connect and protect our world.
We are advancing aviation, engineering integrated defense systems, and developing next-generation technology solutions and manufacturing to help global customers address their most critical challenges. Make a difference with a career at Pratt & Whitney.
This is an exciting opportunity as a Computer Vision Engineer, supporting the continued growth and evolution of Pratt & Whitney's AI-powered digital inspection solutions. In this role, you will design, deploy, and maintain advanced machine learning models and computer vision pipelines that power our cutting-edge jet engine inspection platform across the global aftermarket network. If you are passionate about transforming complex engineering challenges into intelligent, high-performance predictive features through data-driven development and emerging AI technologies, this may be the opportunity you've been looking for.
You will partner cross-functionally with software, product, and aviation domain teams to integrate novel computer vision capabilities into production software. This is a critical role supporting the continued growth of Pratt & Whitney's digital product portfolio by driving the end-to-end model lifecycle, building robust data feedback loops, and delivering exceptional customer experiences through user-centered AI features and continuous innovation.
What You Will Do
Work with state-of-the-art AI products that solve real-world customer problems.
Work in an international environment, with an energetic and enthusiastic team that is capable, takes ownership and is hungry for growth and knowledge.
Collaborate closely with CV engineers, software engineers and product team to deliver AI-assisted engine inspection solutions for aviation professionals globally.
Take part in driving the model lifecycle cadence of data review, model training, evaluation, selection, and production release.
Build data feedback loops to identify and ingest high-value operational data and edge cases back into retraining pipelines.
Prototype and benchmark novel computer vision and predictive features for AI-assisted inspection products.
Translate research concepts into clean, modular, production-grade code.
Partner cross-functionally with software, product and aviation domain teams to integrate useful intelligent features into production software.
Qualifications You Must Have
You, be yourself, we value the diversity you bring to the team.
B.S. or M.S. in Computer Science, Data Science or a related quantitative field (or equivalent hands-on industry experience).
5+ years of professional experience developing and deploying machine learning and computer vision models in production environments.
You are independent, proactive, eager to learn, and committed to continuously expanding your knowledge within AI development.
You have strong problem-solving abilities and a proactive mindset to identify and address challenges to provide our customers with an outstanding experience.
You are a team player who actively contributes ideas, gives and receives feedback regularly, and communicates early about issues, uncertainties, risks, and opportunities.
You are familiar with an Agile/Kanban environment and embody an agile mindset and lean principles.
Solid understanding of modern computer vision architectures (object detection, semantic/instance segmentation, feature matching) using PyTorch.
Strong Python software engineering skills (OOP, design patterns, unit/integration testing, standard data structures) with a focus on code maintainability and scalability.
Practical experience with model versioning, tracking, and serving frameworks (e.g. Docker, ONNX Runtime, DVC, MLflow, Weights & Biases).
You have effective time management and organizational skills to meet deadlines.
Qualifications We Prefer
Prior experience in aviation, aerospace, non-destructive testing (NDT), spatial inspection, or heavy industrial automation.
Familiarity with 3D data representations (point clouds, meshes, CAD formats) and libraries like Open3D, PyTorch3D, or Gaussian Splatting.
Proven experience working with complex datasets beyond standalone images; specifically, fusing vision data with sensor time-series, spatial data, or 3D models.
Background in time-series forecasting or anomaly detection applied to sensor streams for predictive failure analysis.
Experience optimizing deep learning models for edge compute or low-latency environments (e.g., TensorRT, OpenVINO, CUDA optimization).
What We Offer
Career and skills development opportunities
Employee scholarship program for further education.
Comprehensive health, medical and dental benefits.
On-the-job training and in-house/external certifications.
Competitive remuneration package.
Allowance and overtime benefits where applicable.
Company transport provided.