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Expertise in Large Model Evaluation and Development
3 weeks ago
We are seeking a highly skilled Large Model Evaluation and Development Expert to join our AI team.
This role involves designing and implementing evaluation frameworks and methodologies for large-scale models, ensuring they meet the highest quality standards. You will collaborate closely with AI researchers, data scientists, and product managers to drive advancements in AI technologies.
- Key Responsibilities:
- Design and implement comprehensive evaluation frameworks for large-scale AI models, including language models and vision models.
- Develop and maintain high-quality datasets for model evaluation and benchmarking.
- Create and apply metrics to assess model performance, robustness, and quality.
- Collaborate with cross-functional teams to integrate evaluation results into the development cycle, providing actionable insights for model improvement.
- Develop tools and platforms for automated model evaluation and reporting.
- Stay updated with the latest research and trends in AI model evaluation and incorporate best practices into our processes.
- Improve the efficiency of the evaluation process, including data collection and annotation strategies.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Proficiency in programming languages such as Python and database languages like SQL, familiarity with Linux operating systems, and strong programming skills.
- Experience with data manipulation and analysis using libraries such as NumPy and Pandas.
- In-depth understanding and application of common language or vision model evaluation metrics such as Cross-entropy, BPC/BPW, Perplexity, and ROUGE.
- Deep understanding of Bert and GPT-related principles, including key technologies like prompt, finetuning, and transformer.
- Familiarity with large model architectures and training processes.
- Strong insight into the development of large model technologies and the ability to learn and practice.
- Excellent problem-solving and communication skills, with the ability to work collaboratively in a team environment.
Benefits:
- Work at the forefront of AI technology and participate in pioneering projects.
- Participate in the development of cutting-edge large model evaluation platforms.
- Opportunities for professional growth and continuous learning.
- Engage in regular team events and knowledge-sharing sessions.