Senior Research Scientist – Machine Learning Systems, Efficiency Engineer

Adobe

Senior researcher optimizing inference performance and cost efficiency in machine learning systems at Adobe. Collaborating with teams to drive innovations in image editing applications.

Posted 6/25/2026full-timeSan Francisco • California, Washington • 🇺🇸 United StatesSenior💰 $142,700 - $270,950 per yearWebsite

Tech Stack

Tools & technologies

Distributed SystemsPythonPyTorch

About the role

Key responsibilities & impact

Design and optimize high-throughput, low-latency inference systems
Write and maintain high-performance GPU kernels
Conduct deep performance analysis using tools such as PyTorch Profiler
Partner with infrastructure teams to design scalable distributed systems
Establish and track efficiency metrics and build benchmarking frameworks
Serve as a trusted technical advisor to research and product teams

Requirements

What you’ll need

Master’s or PhD in Computer Science, Electrical Engineering, or related field
Hands-on experience implementing and scaling large-scale inference or serving workloads
Strong understanding of GPU architecture
Proficiency in Python and C++
Familiarity with CUDA or Triton for performance-critical workloads
Demonstrated ability to make engineering decisions based on rigorous measurement and benchmarking

Benefits

Comp & perks

Competitive salary
Comprehensive benefits programs
Professional development opportunities
Remote work options
Flexible work arrangements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

GPU kernelshigh-throughput systemslow-latency systemsperformance analysisPythonC++CUDATritonbenchmarking frameworksinference workloads

Soft Skills

technical advisorcollaborationdecision makingmeasurement

Certifications

Master’s in Computer SciencePhD in Computer ScienceMaster’s in Electrical EngineeringPhD in Electrical Engineering