Senior Machine Learning Engineer

Adobe

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: San Francisco, CASeattle, WASan Jose, CA
Salary: $211,800–$306,625 / yr
Posted: 45 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k

This role $259k

$164k most similar roles pay here $322k

This role pays more than 84% of similar roles. Most pay $184,625–$254,750 — the shaded band above. At the midpoint, this role pays about $259k versus about $220k 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.

Most-posted roles

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At a glance

TL;DR · Senior Machine Learning Engineer

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As a Senior Machine Learning Engineer on the Content Intelligence team, you will lead the development and improvement of machine learning models and systems to enhance content understanding within the creative ecosystem. You will collaborate with cross-functional product and engineering management teams to align technical requirements with specific goals while providing mentorship and guidance to fellow team members. The role involves building solutions that improve how the platform understands creative assets across various platforms. To succeed, you must possess over five years of experience developing, evaluating, and deploying models into production environments. You will utilize Python along with Python-based machine learning and data science frameworks, specifically requiring proficiency in deep learning frameworks like PyTorch or TensorFlow. This role focuses on solving technical challenges related to the automated comprehension of professional creative content.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

Skills

Machine Learning Artificial Intelligence Python PyTorch TensorFlow Data Science Deep Learning ML Models Content Understanding

What you'll do

Lead the development and improvement of machine learning models for content understanding.
Develop and deploy ML models into production environments to fuel innovation.
Align technical requirements and opportunities with product goals in coordination with management.
Provide technical guidance and mentorship to team members.
Integrate new technologies seamlessly by working with both research and product teams.
Stay current on the latest advancements in machine learning and artificial intelligence.

What we're looking for

5+ years of industry experience developing, evaluating, and deploying ML models into production.
Strong knowledge of Python and Python-based ML and Data Science frameworks.
Proficiency in at least one deep learning framework such as PyTorch or TensorFlow.
Proven experience leading major successful initiatives.
Experience working with both research and product teams to integrate new technologies.
A degree in computer science, statistics, operations research, applied physics, engineering, or a related quantitative field.