Job Overview

Location
San Francisco, California
Job Type
Full Time
Date Posted
4 days ago

Additional Details

Job ID
27116
Job Views
9

Job Description

What You'll Do

  • Develop innovative models in collaboration with Adobe Research.
  • Design, develop, and deploy applications powered by predictive and generative models, with a focus on building autonomous agents and using agentic frameworks for adaptive decision-making.
  • Implement ML-Ops best practices to ensure scalable, reliable, and efficient machine learning workflows.
  • Engage in the product lifecycle, including architecture, design, deployment, and production operations.

What you need to succeed

The ideal candidate will have the following background:

  • Bachelors in Computer Science, Data Science or Statistics with 2+ years of applied AI/ML experience, including developing, evaluating ML models, and deploying models into production or MS in Computer Science, Data Science, or a related field.
  • Deep understanding of statistical modeling, machine learning, or analytics concepts, with a proven track record of solving problems using these methods.
  • Experience in building large-scale data pipelines.
  • Ability to quickly learn new skills and work in a fast-paced team.
  • Proficiency in one or more programming languages such as Python, Scala, Java, or SQL.
  • Proficiency in ML frameworks such as scikit-learn, SparkML, TensorFlow, or PyTorch.
  • Experience working with both research and product teams.
  • Excellent problem-solving and analytical skills.


Qualification

Any Graduate

Experience Requirements

Fresher Experience

Location

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