Machine Learning Engineer for Large Language Model Development

hace 2 semanas


Madrid, Madrid, España Amazon A tiempo completo

Company Overview

Amazon is a leading technology company that leverages AI and machine learning to improve its products and services. The Artificial General Intelligence (AGI) team is responsible for developing industry-leading technology in this area.

Salary

We are offering a competitive salary of $175,000 per year, which reflects the technical expertise and experience required for this role.

Job Description

The ideal candidate will have a strong background in machine learning and experience working with large language models. They will be responsible for leading the development of novel algorithms and techniques to advance the state of LLM training, leveraging Amazon's heterogeneous data sources and large-scale computing resources.

Required Skills and Qualifications

To succeed in this role, you will need:

  • A Master's degree or Ph.D. in Computer Science, Machine Learning, or a related field;
  • 3+ years of experience in machine learning engineering;
  • Strong knowledge of deep learning frameworks such as TensorFlow or PyTorch;
  • Experience with large-scale data processing and storage systems;
  • Excellent problem-solving skills and ability to work independently;
  • Strong communication and collaboration skills to work with cross-functional teams.

Benefits

We offer a comprehensive benefits package, including:

  • Flexible working hours and remote work options;
  • Opportunities for professional growth and development;
  • Collaborative and dynamic work environment;
  • Access to cutting-edge technologies and tools;
  • Comprehensive health insurance and retirement plan.

Mentorship & Career Growth

Our team is dedicated to supporting new members and helping them grow in their careers. We offer one-on-one mentoring, thorough code reviews, and opportunities for career advancement.

Work/Life Balance

We value work-life balance and offer flexibility in working hours to ensure that you can manage your personal and professional life effectively.



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