Senior Machine Learning Engineer at Adobe Firefly Foundry
Overview
You will own and scale data pipelines for training enterprise-grade generative AI models. This role leads a distributed team to build high-quality datasets and drives technical strategy for Adobe Firefly. The position offers a unique blend of research translation and production execution.
What You'll Do9
- 1Lead and grow a distributed team focused on training data for Generative AI
- 2Define and execute strategy for acquiring processing curating annotating versioning ensuring quality of large-scale datasets
- 3Build and maintain scalable efficient data pipelines across the training data lifecycle
- 4Collaborate with researchers ML engineers and PMs to align on data needs for new models
- 5Champion data diversity bias mitigation and ethical AI practices
- 6Evaluate and integrate tools and methodologies to enhance infrastructure and workflows
- 7Influence model development through insights on data quality and availability
- 8Provide technical leadership and foster a culture of innovation
- 9Partner across teams to align data priorities and share best practices
Requirements6
- 1Master’s/Ph.D. in CS Data Science Engineering AI/ML or related field or equivalent experience
- 25+ years in engineering leadership managing data infrastructure or ML data ops teams
- 3Deep understanding of ML data lifecycles especially for generative models such as GANs diffusion
- 47+ years building and optimizing large-scale ETL ELT pipelines and data warehousing
- 5Expertise in data quality governance versioning and annotation platforms
- 6Proficiency with cloud data tech AWS Azure GCP Spark Databricks Snowflake
Salary Insight
$179 - $351k per year
Location
Required Skills
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