Adobe is looking to hire a Senior Machine Learning Engineer to help shape ideas into real, measurable impact by designing, building, and optimizing backend services that power ML and Generative AI features, and to develop, evaluate, and deploy ML models using classical, deep learning, and GenAI approaches.
Requirements
- Strong software engineering fundamentals: version control, code review, CI/CD, testing.
- Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn , or SageMaker .
- Proven experience deploying ML models in production environments.
- Familiarity with cloud platforms ( AWS, GCP, Azure ) for ML deployment.
- Strong understanding of data structures, algorithms, and system design .
- Experience with Generative AI , prompt optimization frameworks , and LLM-as-a-judge evaluation systems.
- Understanding of Retrieval-Augmented Generation (RAG) and modern NLP pipelines.
Responsibilities
- Design, build, and optimize backend services that power ML and Generative AI features.
- Develop, evaluate, and deploy ML models using classical, deep learning, and GenAI approaches.
- Contribute to agentic systems and orchestration frameworks that enable intelligent, multi-step reasoning and task automation.
- Collaborate with cross-functional teams to integrate ML solutions into production workflows.
- Analyze and improve the efficiency, accuracy, and scalability of AI-enabled systems.
- Stay up to date with advancements in ML, GenAI, and prompt optimization research.
- Mentor junior engineers and help grow the team’s technical depth.
Other
- Bring a 0→1 product mindset , helping shape ideas into real, measurable impact.
- Excellent communication, problem-solving, and technical leadership skills.
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
- 5+ years of experience in machine learning engineering or applied research.
- Experience building agentic architectures or multi-agent orchestration systems.
