Staff Machine Learning Engineer

Overview

Staff Machine Learning Engineer

role at

Adobe .

Adobe Photoshop is seeking a Staff Machine Learning Services Engineer to serve as the technical lead for our Generative AI Services domain. In this high-impact role, you will lead engineering efforts collaborating closely with Research and product teams to deliver scalable, high-performance GenAI systems powering flagship features in Photoshop, Lightroom, Firefly, and our GenAI Enterprise offerings. You will design and implement APIs and services that integrate Adobe’s proprietary models and third-party models. As a hands-on technical leader, you’ll define the architectural direction, uphold high engineering standards, mentor peers, and drive the productization of a rapidly growing GenAI portfolio. You’ll be joining a committed, multi-skilled team working on the foundation for some of Adobe’s most groundbreaking creative tools.

What You’ll Do

Design, build, and maintain scalable, production-grade GenAI services in the cloud

Lead architectural design and guide the development of optimized ML pipelines for cloud-based inference and integration

Drive the bridge between research and product teams throughout the lifecycle—from prototyping to deployment

Optimize model performance, GPU utilization, and service orchestration at scale

Work collaboratively with PMs, TPMs, and engineering leads to build and implement the GenAI roadmap

Define technical direction, conduct building reviews, and establish guidelines for reliability, scalability, and maintainability

Own and improve CI / CD systems and monitoring pipelines for ML services

Mentor engineers across ML and backend fields, encouraging a culture of technical excellence

Provide tier-1 production support, ensuring service SLAs and customer satisfaction

What You Need To Succeed

MS or PhD in Computer Science or related field, or equivalent industry experience

8+ years' experience architecting cloud services and infrastructure for large-scale use, reliability, and performance

3+ years of experience with GenAI workloads—including fine-tuning and inference at scale

Strong foundation in Transformer architecture, Diffusion models, CLIP, VAE, Encoder / Decoders

Deep understanding of model serving, orchestration, and GPU resource management in distributed environments

Knowledge of model optimization techniques (quantization, pruning, distillation, etc.)

Expert-level coding and debugging skills in Python; familiarity with JavaScript / TypeScript is a plus

Hands-on experience with Kubernetes, Docker, and ML-Ops platforms (e.g., MLflow, KServe, Triton)

Familiarity with CUDA, Torch AOTinductor, and frameworks such as PyTorch, TensorFlow, or ONNX Runtime

Proven track record of leading complex, high-stakes technical initiatives across teams

Strong problem-solving skills and a mentality for developing well-tested, production-quality software

Excellent communication and multi-functional collaboration skills

Adobe is an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.

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