We are seeking an experienced and passionate AI Researcher with expertise in Large Language Models (LLMs) to join our team. This role involves conducting cutting-edge research, developing innovative solutions, and advancing the state-of-the-art in natural language processing (NLP) and LLM technologies. The ideal candidate will contribute to the design, training, evaluation, and deployment of LLM-based systems that align with business objectives and provide exceptional value to end-users.
Key Responsibilities:
- Conduct cutting-edge research to improve the efficiency, scalability, and performance of large language models (LLMs).
- Design and implement novel algorithms and techniques for training and fine-tuning LLMs.
- Explore innovative methods to enhance the interpretability, safety, and ethical use of LLMs.
- Develop strategies to reduce computational costs while maintaining model performance.
- Optimize LLMs for deployment across various platforms, including cloud, edge, and on-premise environments.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate LLM-based solutions into products and services.
- Provide thought leadership and insights into emerging trends and advancements in LLMs.
- Design and execute experiments to evaluate LLMs on benchmarks and real-world tasks.
- Analyze and interpret experimental results to inform further model improvement.
Qualifications:
- A bachelor's degree in computer science, or related field.
- Strong background in machine learning, deep learning, natural language processing, and data analysis.
- Proficiency in programming languages such as Python
- Experience with deep learning frameworks such as PyTorch and TensorFlow.
- Strong problem-solving and critical thinking skills.
- Strong understanding of transformer architectures and LLM frameworks (e.g., GPT, BERT, LLaMA).
- Hands-on experience with fine-tuning and deploying LLMs for real-world applications.
- Strong communication skills to articulate complex ideas to technical and non-technical stakeholders.
- Ability to work collaboratively in a fast-paced, innovative environment.
