Machine Learning Engineer (AI/ML)
Description For Machine Learning Engineer (AI/ML)
Adobe is seeking an experienced Machine Learning Engineer to join their team working on cutting-edge AI/ML solutions. This role combines deep technical expertise in machine learning with practical software engineering skills to build and deploy production-grade AI systems.
The position is part of Adobe's Technical Communication group, developing a new age Component Content Management System that powers structured content delivery for large enterprises. The team operates in a startup-like environment within Adobe, working closely with Fortune-500 customers and scaling rapidly.
As a Machine Learning Engineer, you'll be responsible for designing and implementing complex ML solutions using state-of-the-art techniques in NLP, Generative AI, and Transformer architectures. You'll work on projects that impact millions of documents published regularly across multiple platforms and channels.
The ideal candidate brings 10 years of combined experience in machine learning and software engineering, with deep expertise in Python and modern ML frameworks like PyTorch and TensorFlow. You should be comfortable building end-to-end ML pipelines, from data processing to model deployment and monitoring.
This role offers the opportunity to work with cutting-edge AI technologies while solving real enterprise challenges. You'll collaborate with cross-functional teams, drive technical decisions, and have the chance to innovate in a fast-paced environment. Adobe offers competitive compensation, comprehensive benefits, and the chance to work with industry leaders in digital experiences.
Join Adobe's team to help shape the future of content management through AI innovation. Your work will directly impact how large enterprises handle and deliver structured content across multiple channels and platforms.
Responsibilities For Machine Learning Engineer (AI/ML)
- Collaborate with cross-functional teams to determine key interfaces
- Implement complex ML solutions using NLP, Generative AI, RAG and Transformer architectures
- Develop, evaluate, and deploy scalable ML models into production
- Monitor and evaluate ML model performance
- Follow industry standard methodologies in software engineering
- Drive innovation through research and experimentation
- Apply data analysis using frameworks like Hadoop and Spark
- Build reliable and scalable data processing pipelines
- Present key findings and insights to leaders
Requirements For Machine Learning Engineer (AI/ML)
- Master's degree or equivalent experience in Machine Learning
- 10 years total experience: 5+ years in ML and 5+ years in software/data engineering
- Strong knowledge of Python, ML frameworks like PyTorch, TensorFlow, Scikit-learn
- Strong programming skills in Python and Java
- Knowledge and practice of ML Ops
- Experience working with both research and product teams
- Excellent problem-solving skills
- Strong curiosity about staying ahead of technological trends
- Ability to build consensus & drive decisions in ambiguous scenarios
- Excellent work ethics and highly motivated
- Excellent oral and written communication skills
Benefits For Machine Learning Engineer (AI/ML)
- Competitive compensation
- Health insurance
- Career growth opportunities
- Work with cutting-edge AI technologies
- Collaborative work environment
