2027 Intern - Machine Learning Engineer

Adobe Systems
San Jose, San Francisco, Austin, Seattle, New York
Workplace: HybridInternshipUSD 45 - 55 hourlyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Analytical","Quantitative problem-solving","Communication","Collaboration"]

Build and improve machine learning systems, including LLM-based applications, recommendation models, search and retrieval pipelines, or multimodal AI features. Design, train, evaluate, and iterate on models across the ML lifecycle, then deploy and monitor in production. Work on applied generative and agentic projects with real product impact, collaborating with engineers, product managers, and researchers to ship solutions and communicate results. The internship is co-located hybrid (office and home).

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Adobe Systems
Adobe Systems
2 days ago

2027 Intern - Machine Learning Engineer

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

Job Summary

Build and improve machine learning systems, including LLM-based applications, recommendation models, search and retrieval pipelines, or multimodal AI features. Design, train, evaluate, and iterate on models across the ML lifecycle, then deploy and monitor in production. Work on applied generative and agentic projects with real product impact, collaborating with engineers, product managers, and researchers to ship solutions and communicate results. The internship is co-located hybrid (office and home).
Location: San Jose, San Francisco, Austin, Seattle, New York
Workplace: Hybrid
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Build and improve machine learning systems such as LLM-based applications, recommendation models, search and retrieval pipelines, or multimodal AI features.
  • •Design, train, evaluate, and iterate on models across the full ML lifecycle, from data preparation and experimentation through deployment and monitoring.
  • •Contribute to applied AI projects with real product impact, including generative AI features, agentic workflows, and intelligent systems used by customers at scale.
  • •Collaborate closely with engineers, product managers, and researchers to scope problems and ship working solutions.
  • •Communicate findings to technical and non-technical stakeholders.

Pay and Benefits

Salary: USD 45 - 55 hourly

Key Requirements

  • •Currently enrolled full time and pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or related technical field, graduating Dec 2027–June 2028.
  • •Strong foundation in machine learning and deep learning concepts, including familiarity with generative AI and LLMs.
  • •Strong Python programming skills; familiarity with Java or C++ is a plus.
  • •Hands-on experience with ML frameworks such as PyTorch or TensorFlow; familiarity with Hugging Face, LangChain, or scikit-learn is a plus.
  • •Exposure to cloud platforms (AWS, Azure, or GCP) or experience with model deployment and evaluation workflows is a plus.
Education:Bachelor's in Computer Science, Computer Engineering, or a related technical field
Skills:AnalyticalQuantitative problem-solvingCommunicationCollaboration
Tech Stack:PythonJavaC++PyTorchTensorFlowHugging FaceLangChainScikit-learnAWSAzureGCP

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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