AI Scientist

RBC • San Francisco, CA

333d • $210,000 - $310,000

About The Position

Capital Markets Data AI and Research Technology (DART) team is looking to hire a seasoned “hands on” AI Scientist to lead our AI efforts in Quant and Tech Services. The role will be responsible for applying Generative AI techniques to build solutions for Capital markets use cases.

Requirements

• PhD or master’s degree in computer science, Machine Learning, Deep Learning or equivalent experience
• 5+ years of experience building Deep Learning or Machine Learning models
• In depth knowledge of Machine Learning, deep learning and Generative AI
• Ability to function as the primary contributor building Generative AI solutions alongside the team while guiding the rest of the team on best practices, code reviews etc.
• In depth knowledge of Machine Learning, NLP, Information extraction etc.
• Knowledge of Embeddings, Re-rankers, agentic frameworks etc.
• Knowledge of Inferencing, fine-tuning, model architectures etc.
• In depth knowledge and experience building front to back AI Operations
• In depth knowledge of Algorithms and Data Structures
• Knowledge of distributed computing

Nice To Haves

• Experience implementing GenAI systems into production
• Experience with model evals and model monitoring

Responsibilities

• Build end to end AI & ML solutions
• Build agents (RAG and Otherwise) leveraging enterprise data which help capital markets Research, Banking, Sales and Trading
• Manage AI Ops and pipelines for Generative AI needs
• Function as the lead developer and primary contributor on AI projects
• Expected to code 90% of the time
• Opportunity to lead a team of high performing AI scientists if desirable

Benefits

• Comprehensive Total Rewards Program including bonuses and flexible benefits
• Competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree