The AI Job Search Engine
AI Researcher (Early Talent)(m/w/x)
Designing and running experiments to train LLMs, developing code for data mining and processing for a cloud AI platform. Experience with Python and deep learning frameworks required. Remote work flexibility, opportunity for full-time role after training.
Requirements
- Strong knowledge of computer science and machine learning fundamentals
- Experience with Python and deep learning frameworks
- Ability to write clean, efficient code
- Strong problem-solving skills and quick learning ability
- Good English communication skills
- Previous experience with NLP, reinforcement learning, or AI agents projects
- Familiarity with current LLM concepts
- Enrollment in or completion of Computer Science, AI, or related degree
- Contributions to open-source projects
Tasks
- Help design and run experiments to train LLMs
- Help analyze experimental results
- Document findings
- Develop and maintain code for data mining
- Develop and maintain code for data processing
- Develop and maintain code for model evaluation
- Collaborate to explore new RL methods for agents
- Participate in technical discussions
- Discuss future steps of research
Work Experience
- approx. 1 - 4 years
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Deep learning frameworks
- NLP
- Reinforcement learning
- AI agents
- LLM concepts
Benefits
Mentorship & Coaching
- Mentorship
Diverse Work
- Hands-on experience
Flexible Working
- Remote work flexibility
- Flexible working arrangements
Informal Culture
- Collaborative, supportive team environment
- Dynamic and collaborative work environment
Other Benefits
- Opportunity for full-time role
Career Advancement
- Professional growth opportunities
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AI Researcher (Early Talent)(m/w/x)
Designing and running experiments to train LLMs, developing code for data mining and processing for a cloud AI platform. Experience with Python and deep learning frameworks required. Remote work flexibility, opportunity for full-time role after training.
Requirements
- Strong knowledge of computer science and machine learning fundamentals
- Experience with Python and deep learning frameworks
- Ability to write clean, efficient code
- Strong problem-solving skills and quick learning ability
- Good English communication skills
- Previous experience with NLP, reinforcement learning, or AI agents projects
- Familiarity with current LLM concepts
- Enrollment in or completion of Computer Science, AI, or related degree
- Contributions to open-source projects
Tasks
- Help design and run experiments to train LLMs
- Help analyze experimental results
- Document findings
- Develop and maintain code for data mining
- Develop and maintain code for data processing
- Develop and maintain code for model evaluation
- Collaborate to explore new RL methods for agents
- Participate in technical discussions
- Discuss future steps of research
Work Experience
- approx. 1 - 4 years
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Deep learning frameworks
- NLP
- Reinforcement learning
- AI agents
- LLM concepts
Benefits
Mentorship & Coaching
- Mentorship
Diverse Work
- Hands-on experience
Flexible Working
- Remote work flexibility
- Flexible working arrangements
Informal Culture
- Collaborative, supportive team environment
- Dynamic and collaborative work environment
Other Benefits
- Opportunity for full-time role
Career Advancement
- Professional growth opportunities
About the Company
Nebius
Industry
IT
Description
The company is leading a new era in cloud computing to serve the global AI economy by creating tools and resources for real-world challenges.
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