talentyGo

Machine Learning Engineer -4 - Agentic AI & Personalization

Adobe, Inc.

📍 San Jose, California, US0💼 Full-time💰 183,300 – 265,350 USD/year🕐 5/24/2026
Apply now →

Start your Pro trial in 30 seconds (3 days free): you also get the AI match score with your resume.

Role overview

Adobe, Inc. is hiring for the Machine Learning Engineer -4 - Agentic AI & Personalization role in San Jose, California, US. It is full-time, Mid-level level, in the Hr sector. The stated pay for this position is 183,300 – 265,350 USD/year. It was posted 5/24/2026.

On TalentyGo you can review this job and apply more effectively: Charlie prepares an ATS-optimized resume and a cover letter tailored to "Machine Learning Engineer -4 - Agentic AI & Personalization" at Adobe, Inc. in about a minute. Before you apply, you can also check how well your profile fits, with a match score based on skills, experience, location and seniority.

Role
Machine Learning Engineer -4 - Agentic AI & Personalization
Company
Adobe, Inc.
Location
San Jose, California, US
Work mode
On-site
Employment
Full-time
Seniority
Mid-level
Sector
Hr
Salary
183,300 – 265,350 USD/year
Posted
5/24/2026

Description

This is a 0→1 opportunity to define how agentic AI powers enterprise personalization. What You'll Do • Build LLM-powered agents for model generation, experimentation, and next-best-action optimization • Develop recommendation, ranking, and real-time decisioning systems • Architect end-to-end ML systems (feature pipelines, training, low-latency inference) • Lead MLOps (CI/CD, monitoring, drift detection, retraining) • Partner with Product to drive measurable business impact • Mentor engineers and shape agentic AI best practices What You Bring • 5+ years building production ML systems at scale • Experience in personalization, recommendation systems, or real-time ML modeling • Strong skills in Python + ML frameworks (PyTorch, TensorFlow, HuggingFace, etc.) • Track record of owning end-to-end ML systems and driving impact • Hands-on experience with production grade LLMs and agents is a plus Why This Role • Build AI systems that build and optimize other AI systems • Work on real-time personalization at massive scale • Shape how agentic AI is applied in enterprise products Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $151,800 -- $265,350 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $183,300 - $265,350 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

The market for this role in San Jose

TalentyGo lists 5871 similar roles (26 in San Jose), 24% remote. Charlie ranks them against your CV, each with a clear score.

Similar roles
5871
Remote
24%
New / 7d
106

Similar jobs

Frontend Engineer III, Moderation Enforcement
📍 Remote - United States · Remote · tech
Senior Software Engineer (AI)
📍 Tel Aviv · tech
Senior Privacy Engineer
📍 Remote · Remote · tech
Senior Software Engineer, Application Security
📍 San Francisco Bay Area · tech
Director, Engineering
📍 Tel Aviv · tech
Forward Deployed Engineer, Finance [Office of the CTO]
📍 Remote - USA · Remote · finance
See all similar jobs →
Apply now →

TalentyGo is an aggregator of job postings from public sources. Always verify information directly with the company. Applications go through the original company website; TalentyGo does not manage hiring processes.