Senior Staff AI Research Engineer, AI Platform

Are you passionate about advancing AI research to solve complex real-world problems? Do you excel at evaluating ML models and large language models (LLMs) to optimize performance? Are you eager to shape the future of AI at Ridgeline by designing frameworks, tools, and innovative solutions that leverage cutting-edge AI technology? If so, we invite you to join our innovative team. As a Senior Staff AI Research Engineer on the AI Platform team, you will design and build end-to-end AI systems that solve complex business problems across Ridgeline's platform. Your work will span the full research-to-production lifecycle — from prototyping multi-stage processing architectures and building evaluation frameworks, to benchmarking commercial and open-source models for accuracy, consistency, and cost efficiency. You will partner directly with business teams to validate and iterate on AI-powered tools, with a focus on building reusable, horizontal capabilities that can be applied across multiple business domains to transform investment management operations. What will you do? Research and prototype various AI ML and Gen AI techniques, as well as related technologies (OCR, RAG, etc) to identify optimal solutions for Ridgeline’s use cases. Prove out the value of solutions from a business perspective, including cost implications, latency and success rates. Create and maintain comprehensive and scalable model evaluations for existing and future AI capabilities. Future projects might entail - Develop fine-tuning strategies for LLMs, tailoring them for domain-specific applications; Compare the performance of small language models (SLMs) with large language models (LLMs) to inform platform design decisions; develop and train proprietary models, setting the foundation for future AI innovations. Collaborate with interdisciplinary teams to support moving your prototypes into Ridgeline’s enterprise-grade systems. Stay at the forefront of AI advancements, advocating for the adoption of new tools and methodologies where appropriate. Desired Skills and Experience 8+ years of experience in AI/ML research and development Familiarity with deploying machine learning models on cloud platforms like AWS (preferred), GCP, or Azure. Experience with natural language processing, including utilizing and evaluating large language models Strong problem-solving and analytical skills, with experience in developing scalable, high-performance solutions. Excellent communication skills to effectively convey complex technical concepts. Strong planning and organizational stills, with proven ability to run research independently. A degree in computer science or related technical discipline. Bonus A master’s degree or PhD in AI/ML, data science, or a related field. Proficiency in Python and frameworks such as TensorFlow or PyTorch. Experience training proprietary AI models from scratch. Background in financial technology or knowledge of the investment management domain. About Ridgeline Ridgeline is the industry cloud platform for investment management. It was founded by visionary tech entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to apply his successful formula of solving operational business challenges with bold innovation and human connectivity to the unique needs of the investment management industry. Ridgeline started with a clean sheet of paper and a deep bench of experts bound by a set of core values and motivated to revolutionize an industry underserved by its current tech offerings. We are building a new, modern platform in the public cloud, purpose-built for the investment management industry and we are prioritizing security, agility, and usability to empower business like never before. With a growing campus in Reno and offices in New York, Lake Tahoe, and the Bay Area, Ridgeline is proud to have built a fast-growing, people-first company that has been recognized by Fast Company as a “Best Workplace for Innovators,” by ... (truncated, view full listing at source)