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Senior Research Engineer
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We're seeking a highly skilled Senior Research Engineer to lead our efforts in fine-tuning large language models for real-world applications.
Key Responsibilities:- Fine-Tuning Expertise: Develop and execute advanced fine-tuning methodologies for large language models to solve domain-specific problems.
- Model Evaluation & Optimization: Analyze and refine models for accuracy, efficiency, and performance using cutting-edge techniques like few-shot learning, RLHF, and task-specific tuning.
- Data Engineering: Curate and preprocess training data to maximize model performance for diverse applications.
- Cross-Functional Collaboration: Work closely with machine learning researchers, data scientists, and product teams to integrate fine-tuned models into production environments.
- Research & Innovation: Stay at the forefront of AI advancements by exploring new techniques and contributing to the AI research community.
- 5+ years of experience in machine learning or NLP, with a focus on deep learning and fine-tuning large models.
- In-depth understanding of large language model architectures, including transformers, and hands-on experience in fine-tuning large-scale models.
- Proficiency in Python, with expertise in deep learning frameworks like PyTorch or TensorFlow.
- Familiarity with techniques such as transfer learning, prompt engineering, and reinforcement learning for language models.
- A strong background in handling large datasets and optimizing model performance.
- Proven track record of research and innovation in the AI/ML field, including published papers or significant project contributions.
