Machine Learning Engineer - AI Orchestration job opportunity at Adobe.

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DatePosted 30+ Days Ago bot
Adobe Machine Learning Engineer - AI Orchestration
Experience: 5-years
Pattern: full-time
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loacation Bucharest, Romania
loacation Bucharest....Romania

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.  We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!   The Opportunity: Picture a day where every digital interaction you have, from the media you consume to the online shopping you do, is influenced by Adobe's innovative solutions. We are pleased to offer an outstanding opportunity for a Machine Learning Engineer to join our Adobe Agent Orchestrator Platform team in Bucharest. The Agent Orchestrator Platform sits at the heart of our agentic AI systems, enabling intelligent automation, workflow coordination, and autonomous decision-making at scale. You'll contribute directly to scaling our AI strategy by developing and optimizing ML models, building intelligent agent behaviors, and ensuring powerful performance in production environments. What You'll Do: Design, develop, and deploy machine learning models that power Adobe's Agent Orchestrator Platform, enabling intelligent decision-making and autonomous agent behaviors in a large-scale, multi-cloud environment. Research and implement modern techniques in LLM fine-tuning, prompt engineering, and retrieval-augmented generation to optimize agent performance. Build and maintain ML pipelines for model training, evaluation, deployment, and monitoring, ensuring reliability and scalability. Conduct experiments and A/B tests to evaluate model performance, measure business impact, and continuously improve agent intelligence. Implement MLOps guidelines including model versioning, monitoring, retraining pipelines, and performance tracking. Mentor team members on ML guidelines, model optimization techniques, and responsible AI principles. Stay ahead with the latest research in LLMs and agent-based AI, applying innovations to production systems. Drive ML projects from conception to production with clarity and precision, maintaining strong ownership and direction. What You'll Need to Succeed: Master's or PhD in Computer Science, Machine Learning, AI, or related field, and/or 3-5 years of relevant ML engineering experience. Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow). Expert-level knowledge of LLM architectures, fine-tuning techniques and prompt engineering strategies. Hands-on experience with LLM frameworks and tools (e.g., OpenAI APIs, Anthropic Claude, LangChain etc.). Proven track record of building and deploying ML models in production environments. Strong understanding of ML fundamentals including model evaluation, feature engineering, and experiment design. Experience with RAG pipelines, vector databases and semantic search. Proficiency in MLOps tools and practices (MLflow, Weights & Biases, Kubeflow, model serving frameworks). Experience with cloud ML platforms (AWS SageMaker, Azure ML). Excellent analytical and problem-solving skills with ability to interpret model behavior and debug complex systems. Excellent communication skills, both verbal and written, with ability to explain complex ML concepts to non-technical partners. Proficiency in English, both written and spoken. Familiarity with Agile/Scrum project management methodologies. Nice to Have: Publications or contributions to ML/AI research. Knowledge of responsible AI, model interpretability, and bias mitigation techniques. Experience with agent-based simulation and planning algorithms. Experience with distributed training and large-scale model fine-tuning. Adobe is proud to be an  Equal Employment Opportunity  employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.  Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email  accommodations@adobe.com  or call (408) 536-3015.

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