ML Engineer

Position: Staff ML Engineer
Description:

We are seeking a talented and experienced Deep Learning Engineer with a specialization in Large Language Models (LLMs) to join our dynamic team. The ideal candidate will have a deep understanding of state-of-the-art LLM architectures, such as GPT, BERT, and their variants, and a track record of applying these models to real-world applications.

Responsibilities

• Implement state-of-the-art Large Language Models (LLMs) for natural language understanding and generation tasks

• Design and optimize LLM architectures to improve performance, scalability, and efficiency

• Collaborate with cross-functional teams to integrate LLMs into various applications and services

• Fine-tune pre-trained LLMs on domain-specific datasets to improve task performance

• Stay up-to-date with the latest research papers, techniques, and advancements in deep learning and related fields

• Strong software engineering and programming skills, and ability to quickly develop working prototypes from research ideas Requirements

• 3+ years of experience with a Master s, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field

• Proven experience in developing and deploying Large Language Models (LLMs), with a focus on architectures such as GPT, BERT, and their variants

• Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow, PyTorch, or Hugging Face Transformers

• Solid understanding of natural language processing (NLP) fundamentals and techniques

• Experience with training and fine-tuning LLMs on large-scale datasets

• Proficient in one or more programming languages such as Python, Go and Java

• Knowledge of distributed training techniques and experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud)

• Excellent problem-solving skills and ability to work independently and in a team environment

• Strong communication and collaboration skills