Senior Manager, Machine Learning Engineering

Adobe

Quick summary

Work type: On-site
Location: San Jose, CA
Salary: $242,600–$351,225 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $229k

This role $297k

$161k most similar roles pay here $372k

This role pays more than 90% of similar roles. Most pay $197,925–$260,000 — the shaded band above. At the midpoint, this role pays about $297k versus about $229k 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 308 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 306 roles with salary data.

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At a glance

TL;DR · Senior Manager, Machine Learning Engineering

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As a Manager for Applied Research at Adobe Firefly Foundry, you will lead and grow a distributed team focused on training data for generative AI, defining strategies for acquiring, processing, curating, annotating, and ensuring the quality of large-scale datasets. You will build scalable data pipelines, collaborate with researchers and engineers to align on data needs, champion ethical AI practices, and integrate tools to enhance infrastructure. With a deep understanding of ML data lifecycles and expertise in cloud technologies like AWS, Azure, GCP, Spark, Databricks, and Snowflake, you will provide technical leadership while fostering innovation and cross-functional collaboration within Adobe’s enterprise-scale generative AI service for brands seeking professional-quality content at scale.

Skills

AWS Azure GCP Spark Databricks Snowflake Python ETL ELT Data warehousing CI/CD MLOps DVC PostgreSQL Kubernetes Git Jenkins Prometheus Grafana

What you'll do

Lead the development and scaling of data pipelines for Adobe Firefly's generative AI models.
Ensure quality, diversity, and ethical standards in large-scale datasets for training AI models.
Collaborate with cross-functional teams to align on data requirements for new model developments.
Champion best practices in data governance, versioning, and annotation within the organization.
Evaluate and integrate advanced tools and methodologies to enhance data infrastructure efficiency.

What we're looking for

Master’s/Ph.D. in CS, Data Science, AI/ML or equivalent experience.
7+ years of leadership in data infrastructure and ML data operations.
Deep expertise in large-scale ETL pipelines and data warehousing.
Proficiency with cloud technologies (AWS, Azure, GCP) and data platforms.
Strong understanding of data privacy, security, and ethical AI principles.
Experience managing image/video datasets for generative models.

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