LLM Research Engineer
4 months ago
Mountain View
Job Description LLM Research EngineerKey Responsibilities: • Design, train, and fine-tune large language models (e.g., GPT, LLaMA, PaLM) for various applications., • Conduct research on cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance., • Explore advancements in transformer architectures, multi-modal models, and emergent AI behaviors., • Collect, clean, and preprocess large-scale text datasets from diverse sources., • Develop and implement data augmentation techniques to improve training data quality., • Ensure data is free from bias and aligned with ethical AI standards., • Optimize model architecture to improve accuracy, efficiency, and scalability., • Implement techniques to reduce latency, memory footprint, and inference time for real-time applications., • Collaborate with MLOps teams to deploy LLMs into production environments using Docker, Kubernetes, and cloud, • Develop robust evaluation pipelines to measure model performance using key metrics like accuracy, perplexity, BLEU, and F1 score., • Continuously test for bias, fairness, and robustness of language models across diverse datasets., • Contribute to research papers, patents, and open-source projects., • Present findings and insights at conferences and internal knowledge-sharing sessions. Qualifications:, • 7-10 years experience, • Advanced degree in CS, Artificial Intelligence, Data Science, or a related field., • Strong programming skills., • Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or JAX., • Hands-on experience with transformer-based models (e.g., GPT, BERT, RoBERTa, LLaMA)., • Expertise in natural language processing (NLP) and sequence-to-sequence models., • Familiarity with Hugging Face libraries and OpenAI APIs., • Experience with MLOps tools like Docker, Kubernetes, and CI/CD pipelines., • Strong understanding of distributed computing and GPU acceleration using CUDA., • Knowledge of reinforcement learning and RLHF (Reinforcement Learning with Human Feedback).Compensation: $90 - $121.86 per hour ID#: 36408719