Machine Learning Engineer 5
Role details
Job location
Tech stack
Job description
- Lead and grow a distributed team focused on training data for Generative AI.
- Define and execute strategy for acquiring, processing, curating, annotating, versioning, and ensuring quality of large-scale datasets for Adobe Firefly.
- Build and maintain scalable, efficient data pipelines across the training data lifecycle.
- Collaborate with researchers, ML engineers, and PMs to align on data needs for new models.
- Champion data diversity, bias mitigation, and ethical AI practices.
- Evaluate and integrate tools and methodologies to enhance infrastructure and workflows.
- Influence model development through insights on data quality and availability.
- Provide technical leadership and foster a culture of innovation.
- Partner across teams to align data priorities and share best practices.
Requirements
- Master's/Ph.D. in CS, Data Science, Engineering, AI/ML, or related field-or equivalent experience.
- 5+ years in engineering leadership, managing data infrastructure or ML data ops teams.
- Deep understanding of ML data lifecycles, especially for generative models (GANs, diffusion).
- 7+ years building and optimizing large-scale ETL/ELT pipelines and data warehousing.
- Expertise in data quality, governance, versioning, and annotation platforms.
- Proficiency with cloud data tech (AWS, Azure, GCP, Spark, Databricks, Snowflake).
- Strong grasp of data privacy, security, and ethical AI principles.
- Excellent leadership and cross-functional collaboration skills.
- Experience with large-scale image/video datasets.
Preferred:
- Familiarity with MLOps tools (e.g., DVC), annotation platforms, and compliance standards.
- Experience in computer vision, multimedia, or creative content data ecosystems.
- Contributions to open-source tools, publications, or patents in data management.
- Proven success supporting generative model training with robust data solutions.
#FireflyGenAI
Benefits & conditions
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $172,500 -- $306,625 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $211,800 - $306,625 In Washington, the pay range for this position is $201,000 - $291,150
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.