We are looking for a talented Machine Learning Engineer with interest in training large language models to join our innovative and fast-paced team. In this role, you will work on cutting-edge NLP projects and play a crucial part in developing and refining our productivity tools. If you are passionate about machine learning, have a strong background in natural language processing, and thrive in a collaborative and high-impact environment, we'd love to hear from you!
Responsibilities:
- Fine tune large language models that can generate high-quality text to solve domain specific needs.
- Implement end-to-end machine learning pipelines, including data preprocessing, model training, evaluation, and deployment.
- Continuously research and stay up-to-date with recent advancements in NLP and large language models, applying novel techniques and methodologies to improve our models.
- Conduct experiments and benchmarking to assess the performance of various model architectures and optimize hyperparameters.
- Troubleshoot and resolve any issues arising during model training and deployment.
Qualifications:
- Bachelors or Masters in Computer Science, Mathematics, or a related field with a focus on machine learning and NLP.
- Hands-on experience working with large language models like GPT, LLAMA, BERT, or Transformer-based architectures.
- Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Strong knowledge of NLP techniques, including tokenization, language modeling, and embeddings.
- Experience with distributed training and optimization techniques for large-scale machine learning models.
- Solid understanding of cloud platforms (e.g., GCP (preferred), AWS) and their machine learning offerings.
- Strong analytical and problem-solving skills, with the ability to think creatively and propose innovative solutions.
- Excellent communication skills and the ability to collaborate effectively in a cross-functional team.
Text Blaze
