Adobe
Overview
Senior Machine Learning Engineer - Agentic AI & Semantic Intelligence at
Adobe . Join Adobe to revolutionize marketing automation through
Agentic AI
and
Semantic Intelligence . We are 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. What You’ll Do
Agentic AI & Reinforcement Learning
Design and implement RL frameworks for autonomous audience agents using advanced algorithms (PPO, A3C, SAC) Develop multi-agent systems for collaborative audience creation and management tasks Build reward functions and training environments that learn from real marketing outcomes Architect agent systems (reactive, deliberative, hybrid) for real-world applications Semantic Search & Intent Understanding
Build semantic search engines using transformer models, vector databases, and dense retrieval systems Develop intent classification models that translate marketing queries into actionable audience definitions Create embedding pipelines for real-time semantic matching between user profiles and objectives Implement cross-encoder re-ranking systems for improved search relevance Full-Stack Development & Research
Design end-to-end ML pipelines from data ingestion through model serving, monitoring and retraining Build scalable APIs and microservices supporting real-time agent decision-making Stay at the forefront of agentic AI research, implementing modern techniques from academic literature Conduct applied research on novel RL formulations and semantic understanding techniques Educational Requirements & What You Need to Succeed
Ph.D. in AI, ML, Computer Science, or related field with 2+ years of agentic AI/RL experience, OR Master’s degree with 5+ years building production ML systems focused on autonomous agents and semantic search Core Technical Skills
Agentic AI & Reinforcement Learning : Expert experience with RL frameworks (Ray RLlib, Stable-Baselines3, OpenAI Gym); deep understanding of RL algorithms: policy gradients, actor-critic methods, multi-agent RL; hands-on experience building autonomous agents for real-world applications Semantic Search & NLP : Advanced expertise in transformer architectures, embedding models, and vector search; production experience with semantic search systems (FAISS, Milvus, similar vector DBs); strong background in intent classification, BERT/sentence transformers, cross-encoder architectures Full-Stack Development : Expert Python programming with proficiency in Go, or Rust, or Java; production ML experience with PyTorch/JAX, training, finetuning and model deployment; system design for high-scale, low-latency ML serving infrastructure; database proficiency (PostgreSQL, vector databases) Infrastructure & Operations : Large-scale data processing (Spark, Kafka, distributed computing); cloud platform expertise (AWS, GCP, Azure) with ML services; MLOps capabilities: CI/CD, model monitoring, A/B testing frameworks; API development and microservices architecture Compensation & Notices
Our compensation reflects the cost of labor across several U.S. geographic markets. The U.S. pay range for this position is $162,000 -- $301,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. For non-sales roles, salaries are expressed as base salary with potential short-term incentives. State-Specific Notices
California: Fair Chance Ordinances — Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice — If this role is open to hiring in Colorado, the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If Colorado is not listed as a hiring location, the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice — It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. 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. 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, please email accommodations@adobe.com or call (408) 536-3015.
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Senior Machine Learning Engineer - Agentic AI & Semantic Intelligence at
Adobe . Join Adobe to revolutionize marketing automation through
Agentic AI
and
Semantic Intelligence . We are 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. What You’ll Do
Agentic AI & Reinforcement Learning
Design and implement RL frameworks for autonomous audience agents using advanced algorithms (PPO, A3C, SAC) Develop multi-agent systems for collaborative audience creation and management tasks Build reward functions and training environments that learn from real marketing outcomes Architect agent systems (reactive, deliberative, hybrid) for real-world applications Semantic Search & Intent Understanding
Build semantic search engines using transformer models, vector databases, and dense retrieval systems Develop intent classification models that translate marketing queries into actionable audience definitions Create embedding pipelines for real-time semantic matching between user profiles and objectives Implement cross-encoder re-ranking systems for improved search relevance Full-Stack Development & Research
Design end-to-end ML pipelines from data ingestion through model serving, monitoring and retraining Build scalable APIs and microservices supporting real-time agent decision-making Stay at the forefront of agentic AI research, implementing modern techniques from academic literature Conduct applied research on novel RL formulations and semantic understanding techniques Educational Requirements & What You Need to Succeed
Ph.D. in AI, ML, Computer Science, or related field with 2+ years of agentic AI/RL experience, OR Master’s degree with 5+ years building production ML systems focused on autonomous agents and semantic search Core Technical Skills
Agentic AI & Reinforcement Learning : Expert experience with RL frameworks (Ray RLlib, Stable-Baselines3, OpenAI Gym); deep understanding of RL algorithms: policy gradients, actor-critic methods, multi-agent RL; hands-on experience building autonomous agents for real-world applications Semantic Search & NLP : Advanced expertise in transformer architectures, embedding models, and vector search; production experience with semantic search systems (FAISS, Milvus, similar vector DBs); strong background in intent classification, BERT/sentence transformers, cross-encoder architectures Full-Stack Development : Expert Python programming with proficiency in Go, or Rust, or Java; production ML experience with PyTorch/JAX, training, finetuning and model deployment; system design for high-scale, low-latency ML serving infrastructure; database proficiency (PostgreSQL, vector databases) Infrastructure & Operations : Large-scale data processing (Spark, Kafka, distributed computing); cloud platform expertise (AWS, GCP, Azure) with ML services; MLOps capabilities: CI/CD, model monitoring, A/B testing frameworks; API development and microservices architecture Compensation & Notices
Our compensation reflects the cost of labor across several U.S. geographic markets. The U.S. pay range for this position is $162,000 -- $301,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. For non-sales roles, salaries are expressed as base salary with potential short-term incentives. State-Specific Notices
California: Fair Chance Ordinances — Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice — If this role is open to hiring in Colorado, the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If Colorado is not listed as a hiring location, the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice — It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. 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. 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, please email accommodations@adobe.com or call (408) 536-3015.
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