Remote Senior LLM Data Scientist

Summary

Join TIFIN @Work as a Senior LLM Data Scientist to design and fine-tune open source and proprietary Large Language Models (LLMs) for various tasks, build advanced Retrieval Augmented Generation pipeline, implement evaluation framework, deploy models into production environments, and collaborate with product team and software engineering team. The ideal candidate is passionate about Generative AI and LLM and their application in the investment space.

Requirements

• Ph.D./Masters/Bachelor's degree in computer science, mathematics, statistics, engineering, or relevant field
• Experienced in the field of NLP/LLM and well-versed with the current and latest state-of-the-art research
• Hands-on experience in various LLM fine-tuning techniques (e.g. LORA), LLM inference frameworks (e.g. vLLM), advanced RAG pipelines
• Excellent knowledge of LLM evaluation methods and metrics
• 3-5+ years of machine learning/deep learning experience within frameworks such as TensorFlow and/or PyTorch
• 2+ years of practical experience in the development of generative AI applications
• Proficient in Python and SQL
• Analytical and problem-solving skills
• Ability to visualize data in the most effective way possible for a given project or study
• Thrives in a highly demanding, entrepreneurial, and fast-paced environment
• Is a top performer and has a proactive, 'doer', and problem-solver mentality
• Is highly flexible, has a good tolerance for ambiguity, and can quickly adapt to changing priorities
• Is an exceptional team player with solid communication skills

Responsibilities

• Design and fine-tune open source and proprietary LLMs for various tasks such as answering questions, summarization, reasoning and planning, etc
• Build advanced Retrieval Augmented Generation (RAG) pipeline including rewriting, embedding fine-tuning, hybrid search, reranking, knowledge graphs, etc
• Implement a comprehensive evaluation framework and metrics for model performance
• Deploy models into production environments and ensure low latency, reliability, and scalability
• Collaborate with product team and software engineering team to build end-to-end product systems

Benefits

• Performance linked variable compensation, including equity
• Medical, dental, vision, life and disability insurance
• Flexible Spending Account (FSA) and Health Savings Account (HSA)
• 401(k) Retirement Plan
• Flexible PTO policy and Company-paid holidays
• Parental Leave: 12 week paid maternity, 6 week paid paternity leave
• Corporate Social Responsibility and volunteering opportunities
• Access to our Chief Mindfulness Officer for Mindfulness events and 1:1 personal coaching
• Company sponsored events like Qi Gong, mindfulness events, development workshops, team dinners, pickleball games, happy hours, holiday parties and more!