Machine Learning Scientist with Expertise in Deep Learning

19 hours ago


San Francisco, California, United States Unreal Gigs Full time
Job Description

We are Unreal Gigs, a leading innovator in the field of Artificial Intelligence. We are seeking a highly skilled Machine Learning Scientist with expertise in Deep Learning to join our team.

The successful candidate will have a strong background in machine learning research, with experience in designing and developing novel deep learning algorithms and architectures. You will work closely with our cross-functional team to translate your research into real-world applications, ensuring that your models and algorithms align with business objectives and can be deployed in production environments.

Key Responsibilities:

  • Develop Scalable Deep Learning Models: Build and implement deep learning models that can handle large datasets, optimizing them for speed, accuracy, and scalability.
  • Conduct Experiments and Optimize Models: Perform experiments to evaluate model performance, experimenting with hyperparameters, model architectures, and optimization strategies.
  • Collaborate with Cross-Functional Teams: Work closely with product teams, AI engineers, and data scientists to ensure that your models and algorithms align with business objectives and can be deployed in production environments.
  • Publish Research and Contribute to the AI Community: Publish research findings in top-tier AI and machine learning conferences and contribute to the AI community by sharing insights and participating in discussions.

Requirements:

  • PhD or Master's Degree in Computer Science or a Related Field: Equivalent experience in deep learning research is highly valued.
  • Experience with Cloud-Based Platforms: Experience with cloud-based platforms and tools (AWS, GCP, Azure) for training and deploying large-scale models is highly desirable.
  • Strong Communication Skills: Excellent communication skills, with the ability to explain complex research findings to both technical and non-technical audiences.

Salary: $150,000 - $220,000 per year, depending on experience.



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