Principal AI Scientist - LLMs
Health-tech / Wellbeing
Palo Alto, California
$275,000 - $300,000 + bonus + equity
THE COMPANY
This company is an innovative subsidiary of an electronics manufacturer that is pushing the boundaries of generative AI for wellbeing. Their team is half applied research, half product deployment for novel health-tech multimodal applications. They are looking for a technical leader who will own the applied science half of the equation, building out multimodal and transformer-based models.
RESPONSIBILITIES
- Build multimodal models for generative AI applications - speech, audio, text, image and video extraction / recognition
- Lead the applied science technical strategy; roughly 40% hands on, 60% project leadership / stakeholder management
- Partner with commercial and research departments across the organization to develop solutions for customer wellbeing
- Stay on the cutting edge of multimodal and AI to ensure the company is continuing to push the envelope in the space
- Serve as a subject matter expert for the business and interact with stakeholders
SKILLS AND EXPERIENCE
- MS/ PhD in Computer Science, Computational Linguistics, Statistics, or similar STEM field
- 9 years commercial experience building production-grade multimodal applications
- History of leading data/applied science projects
- Comfortable partnering with non-technical stakeholders
- Expert with Python (particularly natural language packages), NER, spaCy, NLTK, TensorFlow, PyTorch or Keras
- Comfortable with multiple types of transformers, RNN, CNN, LSTM, encoder / decoder, masked language models (MLM), autoregressive / machine translation or similar
- Experience with health data a plus
- Ability to show examples of outside-the-box thinking
- Comfortable in autonomous and collaborative settings
BENEFITS
The compensation consists of a base salary, a bonus, equity, and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Data Science | Machine Learning | Statistics | Mathematics | Health-tech | Electronics | Wellbeing | Applied Science | Generative AI | Artificial Intelligence | Multimodal | Speech | Audio | Text Extraction | Stakeholder Management | Technical Leadership | Natural Language Processing | NLP | Computational Linguistics