Data Scientist II

• Propose, plan, and execute applied research initiatives that have a real-world impact on Conversational AI using Large Language Models (LLMs).
• Use expert knowledge of Transformer architecture mechanics to find effective prompting and orchestration approaches.
• Utilize modern LLM inference and retrieval pipelines.
• Analyze large-scale conversational datasets for RAG optimization.
• Implement research-inspired prompt strategies in production systems.
• Create evaluation and experimentation capabilities for non-deterministic model outputs.
• Present findings on model behavior to inform business and product strategy.
• Stay current with Generative AI advancements.

• Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, Operations Research, Industrial Engineering, or a related field.
• Two years of experience with programming in Python, developing LLM interaction flows, and deploying GenAI/LLM solutions into production.
• One year of experience with Generative AI, including LLMs, Prompt Engineering, RAG, and Semantic Search/Vector Databases.
• Experience researching and implementing advanced prompting techniques like Chain-of-Thought or Few-Shot prompting.
• Experience with dialogue systems and context management.
• Hands-on experience with LLM Orchestration Frameworks such as LangChain.
• Experience with Transformer architectures including Attention mechanisms and Tokenization.
• Experience with SQL.

Pay range: $120K - $145K

• Medical, Dental, and Vision Insurance.
• Access to Employee Assistance Program (EAP) for health and mental support.
• 401(k) Retirement Plan with employer match.
• HSA & FSA Plans.
• Employee Stock Purchase Program (ESPP).
• Basic and supplemental insurance coverages.
• Access to professional development resources.
• Flexible Paid Time Off (PTO) and Paid Public Holidays.
• Generous Parental Leave Policy.
• Remote-First Model with office space available.