Staff Machine Learning Engineer

Adobe Systems
San Jose, San Francisco
Workplace: OnsiteFull timeUSD 172,500 - 306,625 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Mentoring","Collaboration","Code review","Testing"]

Design, build, and scale production ML systems for security data at high volume, spanning deep learning, behavioral modeling, embeddings, and agentic AI. Own the full ML lifecycle from feature engineering through training, deployment, monitoring, and retraining. Develop LLM/RAG capabilities for security investigation, create evaluation frameworks for trustworthy results, and partner across data, platform, and security teams while mentoring engineers.

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FursaFursa
Adobe Systems
Adobe Systems
11 hours ago

Staff 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

Job Summary

Design, build, and scale production ML systems for security data at high volume, spanning deep learning, behavioral modeling, embeddings, and agentic AI. Own the full ML lifecycle from feature engineering through training, deployment, monitoring, and retraining. Develop LLM/RAG capabilities for security investigation, create evaluation frameworks for trustworthy results, and partner across data, platform, and security teams while mentoring engineers.
Location: San Jose, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Architect end-to-end ML systems for high-volume security data and turn experiments into reusable capabilities.
  • •Own the ML lifecycle from feature engineering through training, deployment, monitoring, and retraining.
  • •Build LLM and agentic AI capabilities for security investigation, including retrieval-augmented generation.
  • •Design evaluation frameworks to measure model quality and help analysts trust and validate results.
  • •Mentor engineers and guide technical direction through design reviews and hands-on collaboration.

Pay and Benefits

Salary: USD 172,500 - 306,625 annually
Equity and Bonus:Equity

Key Requirements

  • •Experience running production ML systems from early experimentation through sustained operation at scale.
  • •Background training models with PyTorch and transformers, including behavioral modeling and anomaly detection.
  • •Comfort with distributed compute and cloud platforms such as Spark and AWS, plus MLOps tools like MLflow.
  • •Experience building with LLMs or generative AI and evaluating how they behave in production.
  • •Strong Python and SQL skills with solid software engineering habits (testing, code review) and mentoring/collaboration experience.
Education:Master's in computer science, machine learning, or a related field
Skills:MentoringCollaborationCode reviewTesting
Tech Stack:PythonSQLPyTorchTransformersDeep learningSparkAWSMLflowLLMsAgentic AIEmbeddingsRetrieval-augmented generationRAG

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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