Senior Machine Learning Engineer

Adobe Systems
San Jose
Workplace: OnsiteFull timeUSD 142,700 - 270,950 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: phdSkills: ["Problem-solving","Communication"]

Design, build, and deploy production-grade GenAI and predictive ML systems for Experience Intelligence, powering intelligent sales and marketing experiences. Work on retrieval and reasoning systems, agent frameworks, tool calling, and multi-agent workflows over large-scale structured and unstructured enterprise data. Own end-to-end delivery from architecture and experimentation through monitoring and continuous improvement, partnering with engineers, product managers, and business collaborators.

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FursaFursa
Adobe Systems
Adobe Systems
14 hours ago

Senior Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Design, build, and deploy production-grade GenAI and predictive ML systems for Experience Intelligence, powering intelligent sales and marketing experiences. Work on retrieval and reasoning systems, agent frameworks, tool calling, and multi-agent workflows over large-scale structured and unstructured enterprise data. Own end-to-end delivery from architecture and experimentation through monitoring and continuous improvement, partnering with engineers, product managers, and business collaborators.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and deploy production-grade AI systems, including GenAI agents, predictive ML, and retrieval and reasoning systems, with focus on quality, scalability, reliability, and performance.
  • •Develop AI/ML solutions using large-scale structured and unstructured enterprise data, including evaluation frameworks to improve accuracy and user experience.
  • •Own solutions end-to-end from architecture and experimentation through implementation, testing, deployment, monitoring, and continuous improvement.
  • •Partner with product managers and collaborators to identify high-value problems and integrate AI into real-world sales and marketing workflows.
  • •Identify and prototype emerging AI opportunities, turning new technologies and ideas into differentiated, production-ready capabilities.

Pay and Benefits

Salary: USD 142,700 - 270,950 annually
Equity and Bonus:Equity

Key Requirements

  • •MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
  • •5+ years building and deploying machine learning, GenAI, NLP, retrieval, or related AI systems.
  • •Strong understanding of LLM and agentic AI technologies, including RAG, tool/function calling, reasoning, evaluation, and context management.
  • •Strong foundation in machine learning, predictive modeling, statistics, and working with large-scale structured and unstructured data.
  • •Strong software engineering skills in Python, system design, testing, code quality, and production debugging.
Experience:5+ years
Education:PhD / Doctorate
Skills:Problem-solvingCommunication
Tech Stack:PythonPyTorchREST APIsDockerAzureAWSAPIsData pipelinesLLMsGenAINLPRAG

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
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