Machine Learning Engineer IV

Adobe

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$183,300–$265,350 / yr
Posted
133 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $223k
This role $224k
$169k most similar roles pay here $276k

This role pays more than 54% of similar roles. Most pay $192,050–$254,750 — the shaded band above. At the midpoint, this role pays about $224k versus about $223k for comparable roles.

Based on 240 similar postings.

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 218 open roles on FindRole.

Listed pay typically runs $187,100–$270,950 across 216 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer IV

Machine Learning Engineer 4 will join a team of talented engineers and applied scientists to shape the future of agentic AI in the enterprise. This role focuses on designing, building, and scaling state-of-the-art agentic AI systems and platforms powered by generative AI, specifically advancing the AEP Agent Orchestrator platform. Day-to-day responsibilities include developing ML workflows for model customization, serving, and ecosystem integration, while managing engineering tasks like defining APIs, integrating with UIs, deploying cloud services, and implementing ML- and LLM-Ops best practices. The role requires proficiency in Python or Java, experience with deep learning frameworks like TensorFlow or PyTorch, and familiarity with Azure or AWS. Candidates must also possess skills in prompt engineering, fine-tuning models, and managing data across MySQL, Postgres, Redis, ElasticSearch, and Snowflake to solve complex enterprise-scale problems.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

What you'll do

  • Design and develop state-of-the-art agentic AI systems and platforms powered by generative AI.
  • Build and scale ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
  • Implement ML and LLM-Ops best practices to deliver high-quality, production-ready code.
  • Manage engineering tasks including defining APIs, integrating with UIs, deploying cloud services, and managing CI/CD pipelines.
  • Partner with researchers and applied scientists to productize new innovations.
  • Manage the full product lifecycle, including design, deployment, and production operations.
  • Develop solutions for connecting and managing Adobe and third-party agents via the AEP Agent Orchestrator.

What we're looking for

  • A PhD or MS degree in Computer Science or a related field is required.
  • Candidates must have 5+ years of experience in machine learning, including production-scale deployments.
  • Proficiency in at least one programming language such as Python or Java is required.
  • Experience with deep learning frameworks like TensorFlow or PyTorch is required.
  • Experience with LLMs, including prompt engineering, modern APIs, and model fine-tuning, is required.
  • Familiarity with cloud development on Azure or AWS platforms is required.
  • Experience using Relational (MySQL, Postgres) and NoSQL datastores (Redis, ElasticSearch, Snowflake) is required.
  • Strong communication, problem-solving, and relationship-building skills are required.

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