Machine Learning Engineer

Adobe Systems
Bengaluru
Full timeFunction: Data Science & Machine LearningExperience: 7+ yearsSkills: ["Problem-solving","Communication","Collaboration","Mentoring","Technical guidance"]

Build and optimize ML models for search, recommendations, and content understanding within Adobe’s Search, Discovery, and Content AI (SDC) ecosystem. Develop scalable generative AI solutions and integrate ML into production systems for reliability and real user impact. Work across the end-to-end ML lifecycle—data preprocessing, training, evaluation, deployment, and monitoring—while applying NLP, computer vision, and multimodal techniques. Collaborate with product teams and mentor engineers.

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FursaFursa
Adobe Systems
Adobe Systems
1 day ago

Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 3 weeks ago

Job Summary

Build and optimize ML models for search, recommendations, and content understanding within Adobe’s Search, Discovery, and Content AI (SDC) ecosystem. Develop scalable generative AI solutions and integrate ML into production systems for reliability and real user impact. Work across the end-to-end ML lifecycle—data preprocessing, training, evaluation, deployment, and monitoring—while applying NLP, computer vision, and multimodal techniques. Collaborate with product teams and mentor engineers.
Location: Bengaluru
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop and optimize machine learning models and algorithms for search, recommendation, and content understanding across content types.
  • •Build and deploy scalable generative AI solutions for intelligent content discovery and contextual recommendations.
  • •Integrate ML models into production systems with high performance, reliability, and measurable user impact.
  • •Research and implement new techniques in natural language understanding, computer vision, and multimodal learning.
  • •Own the end-to-end ML pipeline (data preprocessing, training, evaluation, deployment, monitoring) and partner with product teams to translate needs into solutions.

Key Requirements

  • •7+ years of industry experience building and deploying machine learning systems at scale.
  • •Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field, or equivalent experience.
  • •Proficiency in Python for ML/AI and Java for production-grade systems.
  • •Strong expertise in machine learning frameworks and tools such as TensorFlow and PyTorch.
  • •Experience with deep learning for computer vision, NLP (e.g., BERT/GPT), or multimodal AI, plus ML fundamentals in math and optimization.
Experience:7+ yearsMachine learningGenerative AIComputer visionNLPMultimodal AIReal-time systemsRecommendation systemsSearch indexingDistributed systems
Education:
Skills:Problem-solvingCommunicationCollaborationMentoringTechnical guidance
Tech Stack:PythonJavaTensorFlowPyTorchKubernetesSparkHadoopCNNsTransformersBERTGPTStable DiffusionDALL-EMidJourneyComputer visionNatural language understandingMultimodal learning

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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