Company Description
Surf AI is an innovative platform providing accurate and trusted insights on digital assets through a user-friendly chat interface. By leveraging proprietary data and domain-specific AI models, Surf empowers institutions and individual investors to analyze projects, understand market trends, and make informed financial decisions. Our mission is to simplify the complexities of digital asset analysis to build confidence and enable smarter investments. Join our dynamic team focused on shaping the future of digital asset intelligence.
Role Description
This is a full-time hybrid role for a Generative AI Engineer. The role is based in Palo Alto, CA, with an option for partial remote work. As a Generative AI Engineer, you will engage in developing and implementing cutting-edge generative AI models, fine-tuning pre-trained models, and crafting efficient algorithms for natural language processing. Additional responsibilities include optimizing model performance, collaborating with cross-functional teams, and contributing to product development efforts.
Qualifications
- Experience with developing and fine-tuning large-scale generative AI models, working knowledge of frameworks such as PyTorch or TensorFlow.
- Proficiency in natural language processing (NLP) techniques and understanding of transformer-based models like GPT or BERT.
- Strong coding skills in Python and familiarity with machine learning libraries like TensorFlow, Scikit-learn, or similar tools.
- Proven ability in deploying AI/ML models into production-ready systems, including optimization for efficiency and scalability.
- Practical understanding of data processing and engineering, including data collection, preprocessing, and augmentation for modeling.
- Experience working in cross-functional teams to deliver AI-driven solutions and products.
- Strong problem-solving skills, innovation mindset, and commitment to delivering cutting-edge solutions.
- Master’s or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related fields. Relevant professional experience may also apply.