Machine Learning Engineer

3 weeks ago


Bengaluru, Karnataka, India Adobe Full time

Transforming Digital Experiences with Adobe

We're on a mission to revolutionize the way people interact with digital content, and we need your expertise to make it happen. As a skilled Machine Learning Engineer, you'll join our dynamic team to design, develop, and implement sophisticated machine learning models that drive innovation and excellence.

The Opportunity

We're seeking a talented individual with a strong background in machine learning, experience with innovative ML projects, and a passion for staying up-to-date with the latest advancements in the field. If you have a deep understanding of Diffusion models and hands-on experience with PyTorch Lightning, you'll be a great fit for our team.

Key Responsibilities

  • Design and develop cutting-edge machine learning models to tackle complex problems and improve Adobe's product offerings.
  • Collaborate with cross-functional teams to integrate machine learning solutions into production systems and optimize performance using PyTorch Lightning.
  • Conduct research to stay updated with the latest machine learning and AI advancements and apply them to real-world problems.
  • Analyze and interpret large datasets to extract significant insights and document findings for technical and non-technical collaborators.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field.
  • Prior experience in computer vision or audio is a must, with a strong background in machine learning and experience in developing and deploying machine learning models.
  • Hands-on experience with PyTorch Lightning and proficiency in Python and machine learning libraries such as TensorFlow, Keras, or similar.
  • A good understanding of Diffusion models and a passion for staying up-to-date with the latest advancements in the field.

What We Offer

We're committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We offer a dynamic and innovative work environment, opportunities for growth and development, and a competitive compensation package.



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