Machine Learning Engineer

Dreamwave AI
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Job Description

We are looking for an experienced Senior Machine Learning Engineer to join our team. The ideal candidate should have a strong background in machine learning and a solid foundation in software engineering.

For more information about our company, check out our website: https://www.dreamwave.ai, or follow us on Twitter and LinkedIn for company updates.

Responsibilities

  • Develop, implement and maintain machine learning models and algorithms
  • Work closely with cross-functional teams to design and deliver end-to-end machine learning solutions
  • Build, train, evaluate and optimize deep learning models using PyTorch
  • Deploy and manage machine learning models at scale on GCP using Kubernetes and other related technologies
  • Collaborate with other engineers to design and optimize data pipelines and infrastructure for machine learning applications

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or related fields
  • 5+ years of experience in machine learning, with a focus on deep learning and neural networks
  • Strong programming skills in Python and experience with PyTorch, TensorFlow or other deep learning frameworks
  • Experience deploying and managing machine learning models at scale on GCP using Kubernetes and other related technologies
  • Experience in data engineering, data processing and big data technologies
  • Strong problem-solving skills and ability to work in a cross-functional team environment

If you are passionate about machine learning and have the skills and experience we are looking for, please apply today!

Company Info.

Dreamwave AI

Dreamwave is an innovative AI research laboratory enhancing human creativity through cutting-edge creative instruments driven by artificial intelligence.

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Dreamwave AI is currently hiring Machine Learning Engineer Jobs in San Francisco, CA, USA with average base salary of $120,000 - $180,000 / Year.

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