Machine Learning Engineer, Express AI Foundations

Adobe

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$161,700–$234,150 / yr
Posted
130 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $225k
This role $198k
$148k most similar roles pay here $287k

This role pays less than 72% of similar roles. Most pay $194,850–$254,750 — the shaded band above. At the midpoint, this role pays about $198k versus about $225k 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, Express AI Foundations

Machine Learning Engineer, Express AI Foundations joins the AI Foundations team to develop and scale the core infrastructure powering creative experiences like Agentic, Create, Imaging, Motion, and Personalization AI. This role involves building production systems, including backend services, microservices, and workflows that connect models, APIs, and data systems. The engineer will develop data and inference pipelines for training, evaluation, fine-tuning, and deployment while managing storage, caching, and runtime orchestration with a focus on reliability and performance. Key technical requirements include proficiency in Python, Java, C++, or Go, along with experience in distributed systems, cloud environments, and MLOps practices. Candidates should be familiar with tools like Kafka, Spark, or Flink, and have exposure to LLMs, multimodal models, or diffusion models to solve complex problems within the AI platform's infrastructure layers.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

What you'll do

  • Develop core platform components to support AI experiences within Adobe Express.
  • Build and improve backend services, microservices, and workflows connecting models, APIs, and data systems.
  • Develop data and inference pipelines for training, evaluation, fine-tuning, and deployment of ML models.
  • Support runtime systems for inference and orchestration with a focus on reliability, observability, and performance.
  • Optimize storage, caching, and data-access patterns to improve system efficiency and scalability.
  • Perform debugging, testing, monitoring, and operational improvements for AI platform services.

What we're looking for

  • 3+ years of experience in software engineering, backend infrastructure, data systems, or ML infrastructure.
  • Proficiency in Python, Java, C++, or Go.
  • Strong understanding of distributed systems fundamentals and scalable system design.
  • Experience building or supporting APIs, data pipelines, or event-driven systems.
  • Familiarity with cloud environments, service deployment, and production engineering practices.
  • Exposure to ML systems, LLM-based applications, or MLOps concepts like model deployment and evaluation.
  • Preferred Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related technical field.
  • Experience with distributed data frameworks such as Kafka, Spark, or Flink.

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