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Advanced AI Researcher
2 weeks ago
As a researcher in the field of Generative AI, you will be responsible for developing and optimizing large language models (LLMs) to address complex challenges and deliver innovative solutions.
Key Responsibilities:
- Conduct cutting-edge research in NLP and develop advanced LLMs tailored to specific applications.
- Design, implement, and optimize language models to solve problems effectively and efficiently.
- Analyze and preprocess large datasets to ensure high-quality input for training LLMs.
- Design and evaluate the performance of language models using appropriate metrics and benchmarks, and iterate on improvements.
- Develop methods that extend and improve model capabilities, reliability, and safety.
- Work closely with cross-functional teams to integrate language models into production.
- Publish research findings in top-tier conferences and journals, and communicate results to technical and non-technical stakeholders.
- Stay up-to-date with the latest advancements in NLP, ML, and AI, and apply relevant techniques to ongoing projects.
Requirements:
- Ph.D. in Computer Science, Computational Linguistics, Data Science, or Artificial Intelligence, with a focus on NLP or ML.
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
- At least 1 year of experience in developing and optimizing LLMs, focusing on foundation model training, supervised fine-tuning, and reinforcement learning from human feedback.
- Strong understanding of various fine-tuning techniques, including full fine-tuning, LoRA, and QLoRA.
- Solid ML and RL software engineering and scientific research skills.
- Experience in Gen AI libraries and frameworks, such as LangChain, LangGraph, LlamaIndex, and LangSmith.
- At least 5 years of research experience in NLP, speech, computer vision, Multimodal, machine learning, deep learning, or related fields.
- Proficiency in programming languages like Python and experience with NLP/ML frameworks like TensorFlow, PyTorch, and Hugging Face.
- Familiarity with domain-specific applications and the ability to translate domain knowledge into effective language models.
- Knowledge of Responsible AI practices and compliance with relevant laws.
- Industry experience with large-scale data processing, distributed computing, or cloud platforms.
Benefits:
- Opportunity to work on cutting-edge AI research and development projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
- Competitive compensation and benefits package.
About Us:
- We are a leading organization in the field of AI research and development.
- We strive to create innovative solutions that drive business value and improve people's lives.
