Senior Machine Learning Engineer

Adobe Systems
San Jose
Workplace: OnsiteFull timeUSD 142,700 - 270,950 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Problem-solving","Communication"]

Build and deploy production-grade AI systems for intelligent sales and marketing experiences, including GenAI agents, predictive ML, and retrieval and reasoning workflows. Own solutions end to end—from architecture and experimentation through implementation, testing, deployment, monitoring, and continuous improvement. Develop AI over large-scale structured and unstructured enterprise data, create evaluation frameworks, and prototype emerging opportunities. Partner with product managers and engineers to integrate AI into real business workflows at scale.

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FursaFursa
Adobe Systems
Adobe Systems
2 days ago

Senior Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live
Reposted: similar role first listed 9 months ago

Job Summary

Build and deploy production-grade AI systems for intelligent sales and marketing experiences, including GenAI agents, predictive ML, and retrieval and reasoning workflows. Own solutions end to end—from architecture and experimentation through implementation, testing, deployment, monitoring, and continuous improvement. Develop AI over large-scale structured and unstructured enterprise data, create evaluation frameworks, and prototype emerging opportunities. Partner with product managers and engineers to integrate AI into real business workflows at scale.
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.
  • •Develop AI/ML solutions over large-scale structured and unstructured enterprise data using 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 business collaborators to identify high-value problems and integrate AI capabilities into sales and marketing workflows.
  • •Identify and prototype emerging AI opportunities and turn new technologies into production-ready capabilities.

Pay and Benefits

Salary: USD 142,700 - 270,950 annually

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 modern 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 with Python, system design, testing, code quality, and production debugging.
Education:Master's in Computer Science, Machine Learning, or a related field
Skills:Problem-solvingCommunication
Tech Stack:PythonPyTorchREST APIsDockerAzureAWSLLMsRAGNLPTool/function callingMulti-agent workflowsData pipelinesEvaluation frameworks

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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