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Machine Learning Engineer 4 - Job Opportunity at Adobe

Bengaluru, India
Full-time
Senior
Posted: April 7, 2025
On-site
USD 140,000 - 180,000 annually based on Bangalore market rates for senior ML engineers at multinational tech companies, with additional stock components typical for Adobe's senior engineering roles

Benefits

Comprehensive healthcare coverage typical of top-tier tech companies
Professional development and learning opportunities
Stock purchase plan (standard for Adobe)
Work-life balance initiatives
Global career mobility opportunities

Key Responsibilities

Lead development and deployment of enterprise-scale ML solutions focusing on NLP, Generative AI, and RAG architectures
Drive cross-functional collaboration to define and implement key ML interfaces
Architect and maintain production ML models with emphasis on scalability and performance
Conduct advanced data analysis using Hadoop and Spark frameworks
Provide technical leadership in ML innovation and research
Build and optimize data processing pipelines
Present strategic insights to senior leadership

Requirements

Education

Master's degree or equivalent experience in Machine Learning

Experience

5+ years of industry experience in ML and Data engineering

Required Skills

Python PyTorch TensorFlow Scikit-learn Java Natural Language Processing Generative AI Retrieval Augmented Generation Transformer architectures MLOps Hadoop Spark Data processing pipeline development Problem-solving Cross-functional collaboration
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Sauge AI Market Intelligence

Industry Trends

The focus on Generative AI and RAG architectures indicates Adobe's strategic pivot towards next-generation AI capabilities, aligning with the industry's shift from traditional ML to more sophisticated generative models The emphasis on MLOps suggests a mature ML practice focused on industrialization of AI solutions, reflecting the broader industry trend toward operational excellence in AI deployment The combination of NLP and Generative AI skills points to Adobe's investment in advanced document processing and creative AI applications, crucial for their Creative Cloud and Document Cloud products

Role Significance

Likely leads a team of 3-5 ML engineers, working within a larger AI/ML organization of 20-30 people typical for Adobe's enterprise AI initiatives
Senior technical position with significant architectural and strategic responsibilities, indicating a role that influences Adobe's AI strategy and implementation

Key Projects

Enterprise-scale Generative AI implementations for creative tools Large language model integration with Adobe's product suite MLOps infrastructure development and optimization Cross-product AI feature development

Success Factors

Deep expertise in both theoretical ML concepts and practical implementation Ability to bridge research innovations with production requirements Strong architectural vision for scalable ML systems Excellence in stakeholder management and technical leadership

Market Demand

Very high demand position, particularly given the specific focus on Generative AI and RAG architectures which are currently among the most sought-after specializations in the global ML market

Important Skills

Critical Skills

Generative AI and RAG expertise is crucial for Adobe's next-generation creative tools Production ML deployment experience essential for maintaining Adobe's enterprise-scale systems Strong Python and ML framework proficiency necessary for rapid prototyping and deployment

Beneficial Skills

Experience with creative technology applications Understanding of human-AI interaction patterns Knowledge of AI ethics and responsible AI practices Familiarity with cloud-based ML infrastructure

Unique Aspects

Focus on creative technology AI applications sets this role apart from traditional ML engineering positions
Opportunity to work on consumer-facing AI features with massive user impact
Combination of cutting-edge AI research with practical product implementation
Access to Adobe's vast creative and document processing datasets

Career Growth

Typical progression to next level within 2-3 years, with potential for faster advancement based on impact and innovation contributions

Potential Next Roles

Principal Machine Learning Engineer AI/ML Architecture Leader Technical Director - AI/ML Engineering Manager - AI/ML

Company Overview

Adobe

Adobe maintains a dominant position in creative software and document management, with a strong focus on AI integration across its product suite

Industry leader in creative software with significant investment in AI capabilities to maintain competitive advantage
Bangalore office represents a major R&D hub for Adobe, with significant influence on global product development
Innovation-focused environment with emphasis on technical excellence and creative problem-solving, typical of leading global technology companies
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