Preprocess collected dataset to ensure quality, relevance, and diversity for vector embeddings generation

Apply suitable techniques such as Word2Vec, GloVe, or BERT to convert preprocessed data into vector embeddings that capture domain-specific meaning and relationships

Fine-tune GPT-4 model using generated vector embeddings for accurate and context-aware responses to user queries

Assist in connecting application to GPT-4 API for seamless user interaction with the AI model and real-time access to personalized coaching advice and insights

Provide ongoing support and consultancy to update embeddings with new data, retrain GPT-4 model as needed, and ensure AI-driven coaching remains up-to-date and effective.

Holds a Master's or PhD degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

Possesses strong experience in natural language processing, vector embeddings, and deep learning models, with a focus on GPT-4 or similar architectures.

Proficient in Python and machine learning frameworks such as TensorFlow or PyTorch.

Familiarity with sports coaching, training, and performance analysis is a plusDemonstrates excellent communication and problem-solving skills.

As a rough estimate, the salary range for this role in the United States may be $100,000 to $200,000+ per year.

Please note that this salary range is only meant to be a guide and may vary depending on individual circumstances. The actual salary offer will be based on several factors, including the candidate's level of experience, skills, and qualifications.

In addition to competitive compensation, we offer a comprehensive benefits package that includes health insurance, 401(k) matching, paid time off, and professional development opportunities.

We believe in fostering a supportive and inclusive work environment that values diversity, equity, and inclusion. Further details about compensation and benefits will be discussed during the interview process. We look forward to hearing from you!

Thank you for your interest in our Machine Learning Consultant position. We have offices in San Diego, Palo Alto, and Lisbon (which will be opening in 2024). However, we also offer remote opportunities and have a global distributed team.

We encourage remote work when candidates are interested, and details about remote work opportunities can be discussed during the interview process. We welcome candidates from all locations and backgrounds to apply for this position. Our goal is to build a diverse and inclusive team that can bring different perspectives and ideas to the table.