Machine Learning Engineer 4

Adobe Systems
San Jose
Workplace: OnsiteFull timeUSD 183,300 - 265,350 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Problem-solving","Collaboration"]

Design, build, and deploy multimodal machine learning models that power content understanding, semantic matching, retrieval, and multi-objective ranking. Develop representation learning with LLMs, vision-language and embedding models, and create scalable retrieval/ranking systems for search, recommendations, and agentic workflows. Train and fine-tune models using large-scale datasets, build evaluation and experimentation frameworks, and work end-to-end from data prep through deployment, monitoring, and continuous improvement.

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FursaFursa
Adobe Systems
Adobe Systems
3 days ago

Machine Learning Engineer 4

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Design, build, and deploy multimodal machine learning models that power content understanding, semantic matching, retrieval, and multi-objective ranking. Develop representation learning with LLMs, vision-language and embedding models, and create scalable retrieval/ranking systems for search, recommendations, and agentic workflows. Train and fine-tune models using large-scale datasets, build evaluation and experimentation frameworks, and work end-to-end from data prep through deployment, monitoring, and continuous improvement.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and deploy content understanding, semantic matching, retrieval, and multi-objective ranking models for multimodal content.
  • •Build representation learning systems using LLMs, vision-language models, embedding models, and multimodal foundation models.
  • •Develop scalable retrieval and ranking systems for search, recommendation, content discovery, and agentic workflows.
  • •Train, fine-tune, and optimize machine learning models using large-scale behavioral, content, and synthetic datasets.
  • •Translate research with Adobe Research and product/engineering teams and operate the ML lifecycle from data prep to deployment, monitoring, and continuous improvement.

Pay and Benefits

Salary: USD 183,300 - 265,350 annually
Equity and Bonus:Equity

Key Requirements

  • •Experience building and deploying machine learning systems in production.
  • •Experience with retrieval, recommendation, ranking, search relevance, or semantic matching systems.
  • •Working knowledge of modern ML techniques including representation learning, metric learning, transformer architectures, multi-objective optimization, and large-scale model training.
  • •Experience with LLMs, embedding models, vision-language models, or other multimodal foundation models.
  • •MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or a related field (or equivalent experience).
Education:Master's in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or a related field
Skills:Problem-solvingCollaboration
Tech Stack:PythonPyTorchTensorFlowJAXHugging FaceRaySparkLLMsEmbedding modelsVision-language modelsVector searchA/B testingMLOps

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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