Senior Machine Learning Engineer

Adobe

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Quick summary

Work type: On-site
Location: San Francisco, CASeattle, WASan Jose, CA
Employment: Full-time
Posted: 39 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $219k

$168k $281k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $192,050–$246,459.

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 282 open roles on FindRole.

Listed pay typically runs $148,100–$282,100 across 76 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer

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The Senior Machine Learning Engineer joins the Content Intelligence team to lead the development of machine learning models and systems for Content Understanding. In this role, you will lead the development and improvement of models that fuel innovation, provide technical guidance and mentorship to team members, and collaborate with cross-functional teams to deliver ambitious projects. You will work with product and engineering management to align technical requirements with product goals. The position requires proficiency in Python and Python-based ML and Data Science frameworks, along with experience in deep learning frameworks like PyTorch or TensorFlow. You will solve technical problems related to enhancing the comprehension of creative content moving through Adobe Stock, Behance, and Adobe Firefly within a large pool of professional creative content.

What does a Machine Learning Engineer earn in California?

Median $235750 from 200 postings across 34 companies.

See salary data

Skills

Machine Learning Python PyTorch TensorFlow Deep Learning Data Science Artificial Intelligence Computer Science Statistics

What you'll do

Lead the development and improvement of machine learning models for content understanding.
Deploy machine learning models into production environments.
Align technical requirements and opportunities with specific product goals.
Provide technical guidance and mentorship to team members.
Integrate new technologies seamlessly between research and product teams.
Monitor and apply the latest advancements in ML and AI to company solutions.

What we're looking for

5+ years of industry experience in 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 ensure seamless integration of new technologies.
A degree in computer science, statistics, operations research, applied physics, engineering, or a related quantitative field.

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