Lead Machine Learning Engineer - AI Orchestration at Adobe

Bucharest, Bucharest, Romania

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

PhD or equivalent experience in Computer Science, Machine Learning, AI, or related field, and/or 5+ years of hands-on ML engineering experience with proven production impact
Expert-level proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX) with deep understanding of model architectures and optimization
Extensive hands-on experience with modern LLM frameworks and tools (e.g., OpenAI APIs, Anthropic Claude, LangChain etc.)
Proven track record of architecting, building, and deploying production ML systems that operate at scale with measurable business impact
Profound knowledge of ML fundamentals encompassing advanced model evaluation, feature engineering, experiment development, and statistical analysis
Expert knowledge of RAG architectures, vector databases (Pinecone, Weaviate, Chroma, FAISS), embedding models, and semantic search systems
Strong experience with MLOps platforms and practices (MLflow, Weights & Biases, Kubeflow etc.)
Extensive experience with cloud ML platforms (AWS SageMaker, Azure ML)
Strong software engineering skills with expertise

Responsibilities

Lead the design, development, and deployment of modern machine learning models that power Adobe's Agent Orchestrator Platform, enabling sophisticated autonomous agent behaviors in a large-scale, multi-cloud environment
Drive ML architecture decisions for the platform, establishing guidelines for model development, deployment, and lifecycle management
Research and implement innovative techniques in LLM fine-tuning, prompt engineering, retrieval-augmented generation, and multi-agent coordination to push the boundaries of agent intelligence
Architect and optimize end-to-end ML pipelines for model training, evaluation, deployment, and monitoring at scale, ensuring production-grade reliability and performance
Lead experimentation strategy including A/B testing frameworks, evaluation metrics, and continuous improvement processes to improve business impact
Establish and evangelize MLOps standard methodologies including model versioning, automated monitoring, retraining pipelines, and performance optimization across the organization
Partner with platform engineers, product managers, and data scientists to integrate ML solutions seamlessly into production systems with stringent latency, availability, and scalability requirements
Train and support junior ML engineers, promoting an atmosphere of creativity, precision, and ethical AI approaches
Drive complex ML projects from research through production deployment with strategic vision, maintaining strong ownership and delivering measurable business outcomes

Skills

Machine Learning

LLM Fine-tuning

Prompt Engineering

Retrieval-Augmented Generation

Multi-Agent Coordination

ML Pipelines

Model Deployment

ML Infrastructure

Multi-Cloud

Autonomous Agents

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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