Founding Nlp Scientist Jobs in California

Strong skills with Python and experience with technologies like LLMs, BERT transformers and relevant NLP libraries ( NLTK, spaCy etc)

Hands-on experience with popular ML frameworks (like PyTorch, TensorFlow, Keras).

Bonus: Experience working with ML related services in AWS, Google Cloud, or Microsoft Azure

Apply your ML/NLP/LLM expertise to propose and develop models and solutions to make commercial business impact

A startup mindset, biasing towards thoughtful action with minimal direction

Great curiosity about the latest ML research

PhD or equivalent experience in a quantitative field (Statistics, Operations Research, Computational Mathematics, etc.) with 7+ years of relevant industry experience

Demonstrated leadership skills while still being able to operate as a "hands on" IC

Proficient coding skills in Python

Expertise in bayesian and frequentist techniques

Proficiency with data tools like Pandas, PySpark, SQL, etc.

Strong organizational skills and the ability to manage multiple tasks and projects simultaneously.

Collaborate with data scientists, software engineers, and UX/UI designers to define requirements and deliver robust solutions.

Experience with popular NLP libraries and frameworks, such as NLTK, spaCy, Transformers, or Stanford NLP.

Experience in building and deploying NLP applications in production environments.

Strong problem-solving and debugging skills, with the ability to identify and resolve issues in NLP systems.

Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Strong programming skills in Python, and experience with popular NLP libraries, such as SpaCy, NLTK, Transformers, or Hugging Face

Entity linking: developing methods for linking entities in text to knowledge bases, such as Wikipedia, Freebase, or DBpedia

Work in a fast-paced, dynamic environment, and be able to prioritize and manage multiple tasks effectively

Experience with deep learning frameworks, such as PyTorch, TensorFlow, or Keras

Strong problem-solving skills, and ability to think creatively and outside the box

Excellent communication skills, and ability to collaborate effectively with a diverse team of researchers, engineers, and stakeholders