Computer Vision Engineer

RTX
Singapore
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: bachelorsSkills: ["Problem-solving","Proactive mindset","Teamwork","Communication","Organizational skills"]

Design, deploy, and maintain production-ready computer vision and machine learning models powering Pratt & Whitney’s AI-powered jet engine inspection platform. Partner with CV, software, product, and aviation teams to integrate novel capabilities into production software, run end-to-end model lifecycles (training, evaluation, release), and build data feedback loops that improve edge-case performance. Translate research into clean, modular code and benchmark new predictive features.

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FursaFursa
RTX
RTX
1 month ago

Computer Vision Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 26 days agoStatus: Live

Job Summary

Design, deploy, and maintain production-ready computer vision and machine learning models powering Pratt & Whitney’s AI-powered jet engine inspection platform. Partner with CV, software, product, and aviation teams to integrate novel capabilities into production software, run end-to-end model lifecycles (training, evaluation, release), and build data feedback loops that improve edge-case performance. Translate research into clean, modular code and benchmark new predictive features.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, deploy, and maintain advanced computer vision and machine learning models and pipelines for engine inspection.
  • •Partner cross-functionally to integrate new computer vision capabilities into production software.
  • •Drive the model lifecycle cadence, including data review, training, evaluation, selection, and production release.
  • •Build data feedback loops to ingest high-value operational data and edge cases into retraining pipelines.
  • •Prototype and benchmark novel computer vision and predictive features; translate research into modular production-grade code.

Pay and Benefits

Perks:Health InsuranceDentalLearning BudgetCommuter BenefitsOvertime Benefits

Key Requirements

  • •B.S. or M.S. in Computer Science, Data Science, or a related quantitative field (or equivalent hands-on industry experience).
  • •5+ years developing and deploying machine learning and computer vision models in production environments.
  • •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, scalable maintainable code).
  • •Practical experience with model versioning, tracking, and serving frameworks (e.g., Docker, ONNX Runtime, DVC, MLflow, Weights & Biases).
Education:Bachelor's
Skills:Problem-solvingProactive mindsetTeamworkCommunicationOrganizational skills
Tech Stack:PyTorchPythonDockerONNX RuntimeDVCMLflowWeights & BiasesOpen3DPyTorch3DGaussian SplattingTensorRTOpenVINOCUDA

Company Brief

RTX
Designs, manufactures, and services aerospace and defense systems, including aircraft engines, avionics, aerostructures, missiles, and cybersecurity solutions for commercial, military, and government customers worldwide.
Industry: Aerospace Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Arlington, United States
Founded: 2020
Website