BENGALURU · FULLTIME
Machine Learning Engineer
Adobe
Bengaluru · onsite · Posted 70d ago
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Undisclosed3–8 yrsfulltimeBengaluru
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Section · 01
About this role
Job Summary
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Adobe Content Intelligence assists marketers and creators in grasping what drives the success of their work. Our group develops the models and pipelines that process images, video, email, and paid social ads - then link those signals to campaign outcomes. This effort fuels insights, suggestions, and agent tools employed throughout Adobe's products today.
We're looking for a Machine Learning Engineer to compose and build the models and pipelines behind creative understanding - vision, video, and language. You'll train and improve models yourself, own delivery of significant pieces of the system end to end, and work across teams to get them into production. If you like turning hard ML problems into production systems that real customers use, we'd love to meet you!
Responsibilities - You'll take a well-defined but genuinely hard ML problem-a modality, a pipeline stage, or a modeling approach-and own it from building through training, deployment, and iteration. You will exercise independent judgment on the methods and techniques you use to reach the goal.
- Build and train models for creative understanding across vision, video, and language
- Build labels and features from LLMs, subject-matter experts, and user activity data
- Deliver pipelines for ingestion, featurization, training, versioning, and inference at scale
- Validate models with offline benchmarks and online A/B tests before release
- Operate production ML on Spark, Kubernetes, and GPU/CPU environments
- You have a Master's degree and 5+ years of relevant experience, or a PhD and 2+ years - or equivalent depth of impact. You have shipped ML models to production and can point to results that made a difference for a product or business.
- Strong Python and PyTorch for model development and deployment
- Experience in deep learning involving vision, video, NLP, or generative AI (LLM/VLM fine-tuning, embeddings, or RAG)
- End-to-end ML systems: feature engineering, training pipelines, inference, and production monitoring
- Distributed data processing and cloud platforms (Spark, Kubernetes, GCP, AWS, or Azure)
- Clear communication with cross-functional partners on ML trade-offs and technical direction
Bangalore
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
KubernetesCampaigncloud platformsadobe experience platformgoogle cloud platformamazon web servicesadobe experience managerfeature engineeringEmbeddingsExpress.jsLarge Language Models (LLMs)Creative ContentdeploymentcloudDeep LearningData ProcessingMicrosoft AzureGenerative AiArtificial Intelligence
Section · Company
About Adobe
Adobe
Software Product
8.5k+
employees
1982
44 years old
San Jose,California
United States
About
Leading graphics, illustrations & marketing solutions software suite
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