Advance generative AI by working hands-on with state-of-the-art Large Language Models (LLMs) and Multimodal LLMs, promoting the evolution of our LLM Suite platform.
Requirements
- Deep understanding of statistics, optimization, and machine learning theory, with emphasis on NLP, RL, and/or Computer Vision algorithms.
- Foundational knowledge of cloud engineering and distributed systems.
- Hands-on expertise in parameter-efficient fine-tuning, model quantization, and quantization-aware training for LLMs.
- Familiarity with advanced prompting strategies (Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts) for generative AI.
- Demonstrated experience with agentic workflows and orchestration patterns for automating and coordinating complex AI tasks.
- Experience building batch and streaming microservices, exposed via gRPC and/or GraphQL, for AI/ML platforms.
- Published research in natural language processing or deep learning at major conferences or journals.
Responsibilities
- Leverage vast data assets and cutting-edge generative AI models within LLM Suite to deliver impactful analytics and agentic workflows.
- Bridge scientific research and software engineering, applying expertise in both to advance LLM Suite’s capabilities.
- Lead the design and delivery of scalable, production architectures for generative AI applications.
- Empower teams to build their own ML products using LLM Suite, fostering a culture of innovation and collaboration.
- Build scalable AI solutions by designing and optimizing reusable APIs and microservices that power LLM Suite, enabling seamless integration and rapid development of AI-promoten products.
- Collaborate across disciplines by partnering with Cloud Engineering to deliver robust, production-ready generative AI solutions.
- Promote responsible AI by helping shape governance, controls, and ethical standards for generative AI and data use across the firm.
Other
- Currently enrolled in a PhD program in a quantitative discipline (e.g., Computer Science, Computer Engineering).
- Excellent communication skills to convey complex technical concepts and build trust with stakeholders.
- Summer Associate
