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Machine Learning Engineer

Adobe

Bengaluru

5+ years

Today

$55.4K–73.5K/yr

Full time

Onsite

Skills Required

LLM

RAG

Gen AI

Embeddings

Machine Learning

Deep Learning

Python

PyTorch

Vision

Video

NLP

VLM

Feature Engineering

Apache Spark

Kubernetes

Description

Adobe Content Intelligence builds models and pipelines that connect creative signals from images, video, email, and paid social ads to campaign outcomes. This role focuses on machine learning systems for creative understanding across vision, video, and language.

Company: Adobe

Role: Machine Learning Engineer

Experience

Master's degree and 5+ years of relevant experience, or PhD and 2+ years, or equivalent depth of impact
Shipped ML models to production with measurable product or business impact
Comfort taking a significant, well-scoped problem and running with it independently with light day-to-day direction

Qualification

Master's degree
PhD

Responsibilities

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
Collaborate with product managers, research scientists, and engineers at Adobe
Link ML work to customer value such as performance insights, brand-aware recommendations, and agent workflow context
Develop relationships across teams, including outside the immediate group
Own significant pieces of the system end to end from building through training, deployment, and iteration
Exercise independent judgment on methods and techniques to achieve the goal

Additional Responsibilities

Mentor junior engineers as the role expands

Nice To Have

Experience with recommendation systems
Experience with marke

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