Senior Machine Learning Engineer

Adobe

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Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$151,800–$265,350 / yr
Posted
6 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $223k
This role $209k
$138k most similar roles pay here $279k

This role pays less than 64% of similar roles. Most pay $192,050–$254,750 — the shaded band above. At the midpoint, this role pays about $209k 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 176 open roles on FindRole.

Listed pay typically runs $150,150–$270,950 across 176 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer

Senior Machine Learning Engineer joins the Search, Discovery & Content AI team to build next-generation platform stacks for content understanding, processing, and discovery. This role involves designing and developing end-to-end machine learning systems, creating GPU-optimized modeling algorithms for large-scale data, and building high-performance features across the complete machine learning pipeline. The engineer will develop runtimes and libraries for emerging technologies like generative AI, language models, and assistive experiences to power creative tools. Required technical expertise includes deep knowledge of computer vision, recommendation systems, and deep learning. Candidates must be proficient in Python, C++, Java, or Rust, and skilled with frameworks such as PyTorch, PyTorch Lightning, Scikit-learn, and Hugging Face. Additionally, the role requires experience with Docker, containerization, and cloud platforms like AWS or Microsoft Azure to solve complex problems in content discovery.

What does a Machine Learning Engineer earn in California?

Median $241375 from 174 postings across 27 companies.

See salary data

What you'll do

  • Design and develop end-to-end machine learning systems using innovative architectures.
  • Develop and implement scalable, GPU-optimized modeling algorithms for large-scale production environments.
  • Build and maintain high-performance, scalable features across the complete machine learning pipeline.
  • Create runtimes and libraries for emerging machine learning technologies to stay at the forefront of the field.
  • Translate product requirements into innovative technical solutions in collaboration with architects and engineering teams.
  • Produce detailed requirement and design documents for features across the entire technology stack.

What we're looking for

  • Hold a PhD or master’s degree in computer engineering, Computer Science, Computer Vision, Robotics, or a related field, or equivalent experience.
  • Possess deep understanding of generative AI, deep learning, computer vision, and recommendation systems.
  • Demonstrate a proven track record of applying machine learning methods to solve complex problems.
  • Proficiency with machine learning frameworks such as Scikit-learn, Hugging Face, PyTorch, and PyTorch Lightning.
  • Expertise in cloud technologies, Docker, and containerization.
  • Experience with AWS, Microsoft Azure, or equivalent cloud platforms.
  • Proficiency in one or more programming languages including Python, C++, Java, and Rust.
  • Strong analytical problem-solving skills and excellent communication and relationship-building abilities.

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