Adobe · 16 hours ago
Senior Machine Learning Engineer
San Jose, CA
Full-time
Onsite
Senior Level
$172K/yr - $307K/yr
7+ years expAdobe is a company focused on changing the world through digital experiences, empowering individuals and brands to create exceptional digital content. They are seeking a Senior Machine Learning Engineer to join their ML Data Platform team, responsible for building infrastructure for large-scale AI training and inference, optimizing distributed workloads, and collaborating with various teams to ensure regulatory compliance.
Artificial Intelligence (AI)ConsultingEnterprise SoftwareGraphic DesignImage RecognitionPhoto EditingSaaSSoftwareUX DesignWeb Design
Responsibilities
Design and build distributed inference applications that process large-scale multimodal data (images, video, documents, text) across thousands of GPUs
Architect and implement feature stores and data enrichment pipelines that serve as the backbone for Foundational model training
Build and maintain backend platform services that power ML workflows, including job orchestration, queue management, and resource allocation
Develop and optimize batch inference systems using frameworks like Apache Ray, Spark ML, or similar distributed computing tools
Implement and manage semantic search capabilities and vector database infrastructure (e.g., OpenSearch, LanceDB, Pinecone) for embedding-based retrieval
Collaborate with ML research teams to translate model requirements into scalable, production-ready infrastructure
Create reusable frameworks, templates, and documentation to accelerate ML platform adoption across teams
Collaborate with product, legal, and policy teams to ensure regulatory compliance
Mentor engineers and contribute to a culture of technical excellence and architectural rigor
Qualification
Required
7+ years of professional experience designing, building, and operating large-scale distributed systems and production-grade ML infrastructure
Proven expertise building distributed inference applications on large-scale multimodal data
Strong expertise in cloud infrastructure and distributed computing
Deep hands-on experience with ML frameworks such as PyTorch or TensorFlow in production environments
Strong understanding of batch inference architectures and frameworks (e.g, Apache Ray, Spark ML, Dask, or equivalent)
Solid MLOps experience including CI/CD for ML, model registries, and deployment automation
Proficiency in Python and strong software engineering fundamentals (system design, data structures, algorithms)
Familiarity with cloud platforms (AWS or Azure) and data platforms (Databricks, Spark)
Excellent communication skills and ability to collaborate across ML research and engineering teams
Preferred
Master's degree (MS or Ph.D.) in Computer Science, Machine Learning, or a related field preferred
Benefits
Long-term incentives in the form of a new hire equity award
Company
Adobe
Adobe is a software company that provides its users with digital marketing and media solutions.
10001+ employees
H1B Sponsorship
Adobe has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1160)
2024 (1217)
2023 (750)
2022 (878)
2021 (742)
2020 (477)
Funding
Current Stage
Public CompanyTotal Funding
$2.5MKey Investors
Apple
1986-08-20IPO
1984-10-01Series Unknown· $2.5M
Leadership Team
Shantanu Narayen
CEO
Dan Durn
Chief Financial Officer
Recent News
2026-01-16
2026-01-16
Company data provided by crunchbase