Adobe Systems

2 months ago

Researcher/ML Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Join a fast-moving, startup-like team inside Adobe focused on AI-driven photography and imaging. You’ll help research and develop computer vision and AI-powered features, deploy them across Lightroom, Photoshop, and Indigo, and translate research into production code for mobile and desktop platforms with broad user impact.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Help define product direction by collaborating with researchers and engineers to design AI-powered photography features.
•Develop and tune computational photography algorithms and integrate them into Indigo, Lightroom, Photoshop, and other products.
•Translate image processing code from Python to C++ for deployment across platforms (MacOS, Windows, iOS, Android) or into CoreML/ONNX as needed.
•Collaborate with researchers to build AI-heavy features for photography and videography, ensuring high quality and performance.
•Contribute to hardware-accelerated or GPU-accelerated implementations to optimize AI models.

Key Requirements

•Bachelor's, Master’s, or PhD in Computer Science or a related field
•Experience with computer vision, computational photography, and/or modern AI
•Strong programming skills in C/C++ and Python
•Experience with AI tools (e.g., PyTorch, CoreML, ONNX)
•Interest in applying AI/vision skills to photography and imaging

Education:Bachelor's

Skills:C++PythonPyTorchCoreMLONNXMacOSWindowsIOSAndroidGPUs

Languages:English

Tech Stack:C++PythonPyTorchCoreMLONNXMacOSWindowsIOSAndroidGPUs

Company Brief

Adobe Systems

Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Adobe Systems

2 months ago

Researcher/ML Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Help define product direction by collaborating with researchers and engineers to design AI-powered photography features.
•Develop and tune computational photography algorithms and integrate them into Indigo, Lightroom, Photoshop, and other products.
•Translate image processing code from Python to C++ for deployment across platforms (MacOS, Windows, iOS, Android) or into CoreML/ONNX as needed.
•Collaborate with researchers to build AI-heavy features for photography and videography, ensuring high quality and performance.
•Contribute to hardware-accelerated or GPU-accelerated implementations to optimize AI models.

Key Requirements

•Bachelor's, Master’s, or PhD in Computer Science or a related field
•Experience with computer vision, computational photography, and/or modern AI
•Strong programming skills in C/C++ and Python
•Experience with AI tools (e.g., PyTorch, CoreML, ONNX)
•Interest in applying AI/vision skills to photography and imaging

Education:Bachelor's

Skills:C++PythonPyTorchCoreMLONNXMacOSWindowsIOSAndroidGPUs

Languages:English

Tech Stack:C++PythonPyTorchCoreMLONNXMacOSWindowsIOSAndroidGPUs

Company Brief

Adobe Systems

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor