About the Role
The role involves conducting research and implementing large-scale pre-training methods to improve foundational AI models, with a focus on efficiency, scalability, and performance.
Responsibilities
- Design and execute pre-training experiments for large language models
- Optimize training pipelines for computational efficiency
- Collaborate with research teams to define model architectures
- Analyze model behavior and identify areas for improvement
- Implement data filtering and preprocessing techniques
- Scale training workflows across distributed systems
- Monitor training stability and convergence
- Develop evaluation frameworks for pre-trained models
- Contribute to research publications and technical reports
- Stay current with advancements in AI and machine learning
- Troubleshoot issues in training infrastructure
- Refactor code for maintainability and performance
- Support reproducibility of experiments
- Integrate feedback from peer reviews
- Work with large datasets while ensuring data integrity
- Ensure alignment with research goals and timelines
- Optimize hyperparameter selection processes
- Contribute to version control and documentation
- Assist in defining research roadmaps
- Collaborate across disciplines to enhance model capabilities
- Use machine learning frameworks effectively
- Maintain high standards in research rigor
- Identify potential risks in model development
- Propose novel training strategies
- Support deployment of research prototypes
Nice to Have
- PhD in a relevant technical field
- Experience with billion-parameter models
- Contributions to open-source machine learning projects
- Prior work in self-supervised learning
- Familiarity with MLOps practices
- Experience mentoring junior researchers
- Knowledge of energy-efficient training methods
- Background in multilingual models
- Experience with model parallelism
- Understanding of bias mitigation techniques
- Involvement in dataset creation
- Track record of patent filings
- Experience with automated machine learning
- Knowledge of adversarial training
- Familiarity with regulatory aspects of AI
Compensation
Competitive salary and benefits package
Work Arrangement
100% remote
Team
Collaborative research team focused on advancing AI models
Why This Role Matters
This position plays a key role in shaping the next generation of AI models by focusing on the foundational stage of pre-training. The work directly influences downstream capabilities and model reliability.
What We Offer
Flexible remote work environment, access to cutting-edge computing resources, opportunities for professional growth, and support for conference participation and publication.
Available for qualified candidates
