Sr Machine Learning Engineer 5 -- AEP, Agentic System

Adobe

Actively hiring
San Jose, US Posted 51 days ago $211,800$306,625 / year

At a glance

AI generated

TL;DR

As a Senior Machine Learning Engineer at Adobe’s Experience Platform, you will join a dynamic team to architect and deliver scalable AI systems that enhance end-user products. Your responsibilities include owning the full lifecycle of agentic AI systems, from orchestration and tool integration to high-performance backend services, ensuring reliability and maintainability. You will collaborate with Adobe Research and product teams to translate research prototypes into production-ready solutions, focusing on safety, governance, and ML Ops guidelines. Key skills required are deep expertise in machine learning, experience with LLMs and agentic systems, proficiency in Python and frameworks like PyTorch or TensorFlow, and strong technical leadership abilities. This role demands hands-on involvement in building large-scale inference systems and driving continuous improvements through evaluation and experimentation.

Skills

Python PyTorch TensorFlow HuggingFace LangChain MLOps CI/CD LLMs RAG Docker Kubernetes AWS PostgreSQL Prometheus Grafana

What you'll do

  • Own end-to-end architecture and delivery of production-grade AI systems.
  • Build AI-powered product capabilities using predictive and generative approaches.
  • Design robust agent orchestration with strong control flow and failure handling.
  • Develop core platform components like retrieval, memory/state, and LLM abstraction.
  • Establish safety, governance, and ML Ops guidelines for trustworthy outcomes.
  • Partner with Adobe Research to translate prototypes into production systems.

What we're looking for

  • 10+ years of experience in building and deploying ML systems at scale or a PhD with 8+ years of relevant experience.
  • Deep expertise in machine learning, end-to-end modeling lifecycle, and real-time decisioning architectures.
  • Experience with LLMs, agentic systems, prompt engineering, RAG, context engineering, especially in production environments.
  • Proven success in building and shipping end-to-end ML systems from research to deployment and ongoing optimization.
  • Hands-on experience with MLOps including model lifecycle management, monitoring, automated retraining, CI/CD for ML, large-scale inference systems.
  • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, HuggingFace, LangChain or equivalent.
  • Excellent multi-functional collaboration skills and demonstrated technical leadership.

Market check

Salary context

This $211,800–$306,625 range sits above 82% of similar postings on FindRole.

Peer median band

$168,800$249,600

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$169,213$247,878

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 290 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 290 roles with salary data.

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