Machine Learning Engineer 5 at Adobe

Department: Engineering and Product

Compensation

$172,500 – $306,625/yr

Setup: On-site
Location: San Jose, California
Type: Full-time
Level: senior
Posted: Sep 18, 2026

Description

Adobe is hiring a Machine Learning Engineer for its Brand Intelligence Predict team in San Jose, California. The role focuses on building and shipping LLM-powered systems that simulate consumer audiences, including inference and reasoning harnesses, agentic flows, fine-tuning, evaluation datasets, and production features. Candidates need substantial production LLM application experience, fine-tuning and RL-based alignment expertise, Python and modern ML tooling proficiency, MLOps knowledge, cloud familiarity, and an MS or PhD in a relevant technical field. The U.S. pay range is $172,500-$306,625 annually, with a California range of $211,800-$306,625.

Required Skills

LLM applications
LLM fine-tuning
Python
PyTorch
MLOps
RAG
RLHF

Additional Information

Minimum Education: Master's or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent experience
Required Previous Experiences: Substantial hands-on experience building LLM-based applications in production
Experience designing and shipping complex LLM inference harnesses, including agentic systems, structured reasoning, sampling and decoding strategies, and RAG
Experience fine-tuning LLMs using SFT, DPO, GRPO, and modern post-training techniques
Experience with RLHF, RLAIF, or RL-based LLM state alignment
Experience building evaluation datasets and harnesses
Experience shipping a customer-facing generative AI feature from proof-of-concept to production
Preferred Qualifications: Prior work on synthetic audiences, persona simulation, or LLM-based human behavior modeling
Familiarity with synthetic audiences research literature
Experience with public opinion, survey, or panel-based consumer research data