Machine Learning Engineer - AI Orchestration at Adobe

Bucharest, Bucharest, Romania

Adobe Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AIIndustries

Requirements

  • 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

Responsibilities

  • 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

Skills

Machine Learning
LLM Fine-tuning
Prompt Engineering
Retrieval-Augmented Generation
ML Pipelines
Model Deployment
A/B Testing
Multi-Cloud
Agentic AI
Workflow Orchestration

Adobe

Software solutions for content creation and marketing

About Adobe

Adobe provides a range of software solutions focused on digital experiences, catering to creative professionals, businesses, and educational institutions. Its main offerings include Adobe Creative Cloud, which contains tools for photography, graphic design, video editing, illustration, UI/UX design, 3D and augmented reality, and social media content creation. Adobe also offers marketing solutions through Adobe Experience Cloud and document management services via Adobe Document Cloud. The company operates on a subscription-based model, allowing users to access its software through monthly or annual plans, with special pricing available for students, teachers, and businesses. Adobe differentiates itself from competitors by providing a comprehensive suite of tools that cover various aspects of content creation and marketing, all integrated into one platform. The goal of Adobe is to empower users to create, manage, and optimize their digital content effectively.

San Jose, CaliforniaHeadquarters
1994Year Founded
$668.9MTotal Funding
IPOCompany Stage
Consumer Software, Enterprise Software, DesignIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Emerging AI-driven design tools offer similar functionalities at lower costs.
Open-source alternatives may attract users away from Adobe's subscription model.
Data privacy concerns could affect trust in Adobe's cloud services.

Differentiation

Adobe offers a comprehensive suite for content creation, marketing, and document management.
Adobe's subscription model includes special pricing for students, teachers, and businesses.
Adobe integrates advanced analytics with Experience Cloud for data-driven marketing.

Upsides

Generative AI tools enhance Adobe's content creation and editing efficiency.
Remote work boosts demand for Adobe's cloud-based document management solutions.
AR's popularity in marketing benefits Adobe's 3D and AR tools.

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