✦ Luna Orbit — AI & Machine Learning

Senior Machine Learning Engineer

at Adobe

📍 3 Locations Unknown Posted March 26, 2026
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

This role involves designing and implementing machine learning models to enhance AI capabilities within the company's SaaS platform. The engineer will work on data-driven solutions to improve product intelligence.

  • Develop ML models
  • Optimize algorithms
  • Handle large datasets
  • Collaborate with data scientists
  • Implement scalable AI solutions

The technical environment includes Python programming, deep learning frameworks like TensorFlow and PyTorch, and data analysis tools. The focus is on developing scalable AI models for real-world applications.

The ideal candidate is a senior AI/ML engineer with strong expertise in Python, deep learning frameworks like TensorFlow or PyTorch, and experience in data science and modeling. They should have a solid understanding of neural networks and artificial intelligence applications.

Machine LearningPythonDeep Learning
TensorFlowPyTorchscikit-learnData ScienceData Modeling
TensorFlowPyTorchscikit-learnJupyter NotebookDataRobot
Machine LearningMLPythonTensorFlowPyTorchDeep LearningData ScienceData Analysisscikit-learnNeural Networks
Machine LearningMLPythonTensorFlowPyTorchscikit-learnDeep LearningData ModelingData AnalysisData Science
communicationproblem-solvingcollaborationcritical thinkingadaptability
Industry SaaS
Job Function Design and deploy machine learning models for AI-driven SaaS products.
Role Subtype AI & Machine Learning
Tech Domains Python, TensorFlow, PyTorch, scikit-learn
machine learningMLpythontensorflowpytorchdeep learningdata sciencedata analysisscikit-learnneural networksartificial intelligenceAIdata modelingJupyter NotebookTensorFlowPyTorch

Lack of experience in Python or deep learning frameworks, No background in data science or AI, No experience with neural networks

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