???? Now Hiring: Senior Research Engineer (Fine-Tuning Large Language Models)
Are you an experienced AI researcher passionate about fine-tuning large language models (LLMs) for real-world applications? We're seeking aSenior Research Engineerto join our dynamic team and lead efforts in advancing the fine-tuning process of state-of-the-art LLMs.
In order to make an application, simply read through the following job description and make sure to attach relevant documents.
Role Overview:
As a Senior Research Engineer, you will take charge of fine-tuning large-scale pre-trained models to meet specific tasks and performance benchmarks. You'll have the opportunity to innovate, experiment, and implement novel techniques that make LLMs smarter, faster, and more adaptable.
Key Responsibilities:
- Fine-Tuning Expertise:Lead the development and execution of advanced fine-tuning methodologies for LLMs 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.
What We’re Looking For:
- 5+ years of experiencein machine learning or NLP, with a focus on deep learning and fine-tuning large models.
- In-depth understanding of LLM architectures, including transformers, and hands-on experience infine-tuning large-scale models.
- Proficiency inPython, with expertise in deep learning frameworks likePyTorchorTensorFlow.
- Familiarity with techniques such astransfer learning, prompt engineering, andreinforcement 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.