Remote Machine Learning Engineer

Found in: Jooble US O C2 - 2 weeks ago

San Francisco CA, United States Text Blaze Full time

Full Time] Machine Learning Engineer - Large Language Models at Text Blaze (United States) | BEAMSTART Jobs Machine Learning Engineer - Large Language Models
Full Time
Remote Work
Stock Options
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
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.
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.
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