As a Senior Machine Learning Engineer on the Applied Science Data Frameworks team, you will build and maintain large-scale infrastructure for AI training and inference, supporting systems that process billions of data points in GPU environments. Your daily tasks include developing distributed data loaders, designing batch inference systems, improving system performance with tools like Ray and Spark, implementing search and retrieval systems using vector databases, and creating reusable libraries to support teams across the organization. You will need 8+ years of experience in building and operating ML infrastructure, strong Python programming skills, familiarity with PyTorch or TensorFlow, and knowledge of cloud platforms such as AWS or Azure. Additionally, understanding MLOps practices and the ability to collaborate effectively are essential for this role that tackles complex problems at scale within a collaborative team environment.
Build distributed data loaders for large-scale training workflows.
Develop data pipelines for multimodal datasets ingestion and transformation.
Design batch inference systems for high-volume processing in GPU environments.
Improve system performance, scalability, and reliability using distributed tools.
Implement search and retrieval systems with vector databases and embeddings.
Create reusable ML tools, libraries, and documentation for organizational support.
Monitor and enhance system health metrics like throughput and latency.
What we're looking for
8+ years of experience building and operating distributed systems or ML infrastructure in production.
Strong programming skills in Python and familiarity with ML frameworks like PyTorch or TensorFlow.
Experience developing large-scale data pipelines, inference systems, and working with cloud platforms (AWS/Azure).
Knowledge of distributed computing tools such as Ray, Spark, DuckDB for improving system performance and scalability.
Understanding of MLOps practices including CI/CD workflows and deployment strategies.
Ability to collaborate effectively in a cross-functional team environment through code reviews and knowledge sharing.
Market check
Salary context
This
$211,800–$306,625
range sits above
84%
of similar postings on FindRole.
Peer median band
$159,500–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$168,642–$244,000
Middle half of comparable postings.
Based on 239 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
290 open roles
on FindRole.
Listed pay typically runs
$183,300–$265,350
across 290 roles with salary data.