Machine Learning Engineer - AI Orchestration
Adobe · Bucharest, Bucureşti, Romania · Engineering and Product
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.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
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