Adobe Systems

4 weeks 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: 2 hours agoStatus: Live

Job Summary

Join Adobe’s AI Foundations team to design, build, and deploy semantic matching, retrieval, and ranking models for multimodal content across Adobe products. Work with LLMs, vision-language models, and large-scale data to improve content relevance and discovery, shaping how millions of users and AI agents interact with content.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, develop, and deploy semantic matching, retrieval, and multi-objective ranking models for multimodal content across Adobe products.
•Build representation learning systems using LLMs, vision-language models, embedding models, and multimodal foundation models to improve relevance and content understanding.
•Develop scalable retrieval and ranking architectures powering search, recommendation, content discovery, and agentic workflows across enterprise and marketplace content.
•Train, fine-tune, and optimize machine learning models using large-scale behavioral, content, and synthetic datasets.
•Build evaluation frameworks, benchmarks, and experimentation methodologies to measure relevance, ranking quality, retrieval effectiveness, and user impact.

Key Requirements

•Strong experience building and deploying machine learning systems in production.
•Strong experience developing retrieval, recommendation, ranking, search relevance, or semantic matching systems at scale.
•Deep understanding of modern ML techniques, including representation learning, metric learning, transformer architectures, multi-objective optimization, and large-scale model training.
•Experience working with LLMs, embedding models, vision-language models, or other multimodal foundation models.
•Strong software engineering skills with proficiency in Python and experience building scalable ML services and infrastructure.

Experience:Information retrievalMultimodalAISearch

Education:Master's

Skills:Problem-solvingCollaborationCommunicationTeamworkAnalytical

Languages:English

Tech Stack:PythonPyTorchTensorFlowJAXHugging FaceRaySpark

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

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Adobe Systems

4 weeks 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: 2 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, develop, and deploy semantic matching, retrieval, and multi-objective ranking models for multimodal content across Adobe products.
•Build representation learning systems using LLMs, vision-language models, embedding models, and multimodal foundation models to improve relevance and content understanding.
•Develop scalable retrieval and ranking architectures powering search, recommendation, content discovery, and agentic workflows across enterprise and marketplace content.
•Train, fine-tune, and optimize machine learning models using large-scale behavioral, content, and synthetic datasets.
•Build evaluation frameworks, benchmarks, and experimentation methodologies to measure relevance, ranking quality, retrieval effectiveness, and user impact.

Key Requirements

•Strong experience building and deploying machine learning systems in production.
•Strong experience developing retrieval, recommendation, ranking, search relevance, or semantic matching systems at scale.
•Deep understanding of modern ML techniques, including representation learning, metric learning, transformer architectures, multi-objective optimization, and large-scale model training.
•Experience working with LLMs, embedding models, vision-language models, or other multimodal foundation models.
•Strong software engineering skills with proficiency in Python and experience building scalable ML services and infrastructure.

Experience:Information retrievalMultimodalAISearch

Education:Master's

Skills:Problem-solvingCollaborationCommunicationTeamworkAnalytical

Languages:English

Tech Stack:PythonPyTorchTensorFlowJAXHugging FaceRaySpark

Company Brief

Adobe Systems

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

Glassdoor: 4.0

Website LinkedIn Glassdoor