Machine Learning Engineer - AI Orchestration at Adobe

Bucharest, Bucharest, Romania

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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

Key technologies and capabilities for this role

Machine LearningLLM Fine-tuningPrompt EngineeringRetrieval-Augmented GenerationML PipelinesModel DeploymentA/B TestingMulti-CloudAgentic AIWorkflow Orchestration

Questions & Answers

Common questions about this position

What education or experience is required for this Machine Learning Engineer role?

A Master's or PhD in Computer Science, Machine Learning, AI, or related field is required, along with 3-5 years of relevant ML engineering experience.

What technical skills are essential for this position?

Strong proficiency in Python and deep learning frameworks like PyTorch and TensorFlow is required, along with expert knowledge of LLM architectures, fine-tuning, prompt engineering, and hands-on experience with LLM frameworks such as OpenAI APIs, Anthropic Claude, and LangChain.

Is this Machine Learning Engineer role remote or office-based?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What does Adobe value in candidates for this role?

Adobe seeks candidates with a proven track record of building and deploying ML models in production, strong ownership to drive projects from conception to production, and the ability to mentor team members on ML guidelines and responsible AI principles.

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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