Manager, Applied Science for Data

Adobe

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $178k
This role $259k
$113k most similar roles pay here $327k

This role pays more than 91% of similar roles. Most pay $141,750–$214,500 — the shaded band above. At the midpoint, this role pays about $259k versus about $178k 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 325 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 325 roles with salary data.

Most-posted roles

View all roles at Adobe

At a glance

TL;DR · Manager, Applied Science for Data

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The Firefly Foundry team at Adobe seeks an Applied Science Manager to lead the development and scaling of training data ecosystems for generative AI models used in content synthesis and editing across imaging and video modalities. This senior role involves building scalable data pipelines, ensuring high-quality datasets, and fostering ethical AI practices while collaborating with researchers, engineers, and product managers to align on data needs. The ideal candidate has a Master’s or Ph.D. in Computer Science or related fields, 5+ years of engineering leadership experience, expertise in ML data lifecycles for generative models, and proficiency in synthetic data creation and large-scale image/video datasets.

Skills

Python TensorFlow PyTorch Kubernetes Docker AWS Azure GCP CI/CD Git PostgreSQL MongoDB Apache Spark Data Privacy Ethical AI Synthetic Data Creation Large-Scale Datasets Machine Learning Algorithms Data Pipelines

What you'll do

  • Lead and grow a distributed team focused on training data for generative AI.
  • Define and execute strategies for acquiring, processing, curating, annotating large-scale datasets.
  • Build scalable data pipelines across the entire training data lifecycle.
  • Champion data diversity, bias mitigation, and ethical AI practices within the organization.
  • Evaluate and integrate tools to enhance infrastructure and workflows for data management.

What we're looking for

  • Master’s or Ph.D. in Computer Science, Data Science, Engineering, AI/ML, or related field.
  • 5+ years of experience in engineering leadership roles.
  • Deep expertise in ML data lifecycles and generative models.
  • Experience with synthetic data creation and curation processes.
  • Strong knowledge of data privacy, security, and ethical AI principles.
  • Excellent cross-functional collaboration and technical leadership skills.

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