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Principal Machine Learning Researcher
- Seattle, Washington, United States
- Seattle, Washington, United States
Über
Responsibilities
Oversee the design, implementation, and deployment of advanced AI solutions, ensuring alignment with organizational goals and industry standards while managing cross‑functional collaboration to address complex business needs.
Direct the development and execution of innovative machine learning methodologies, fostering thought leadership through the creation of intellectual property, scientific publications, and participation in global conferences.
Provide strategic guidance and mentorship to senior managers and researchers, ensuring the effective dissemination of advanced AI tools and methodologies across the organization to enhance operational efficiency and decision making.
Collaborate with stakeholders to evaluate and implement scalable AI architectures, driving the integration of new technologies and ensuring the organization remains at the forefront of AI advancements.
Manage machine learning research initiatives of significant complexity, applying advanced technical expertise to solve abstract problems, and making independent decisions across business units.
Make independent decisions on program, technical or operational strategy for the department, providing leadership, coaching and mentorship through senior managers and managers. Set strategic direction for the department or area receiving high level direction from senior leaders.
Drive innovation across areas of responsibility identifying opportunities for making operational changes and practices, solving highly complex problems broadly related to machine learning research.
Lead cross‑functional collaboration efforts, fostering strong internal relationships across the organization and external relationships to drive business outcomes.
Ideal Candidate
Involvement across the research and product development lifecycle, from prototyping to production, and engaging with multiple stakeholders to develop solutions that meet business needs.
Proficient in Python, data science tooling, and deep learning frameworks.
Publication record in relevant top tier AI/ML conferences a plus.
Experience with NLP, LLMs, or financial services domain a plus.
Experience developing open‑source tools, etc.
What’s in it for You We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
A comprehensive Total Rewards Program including competitive compensation and flexible benefits such as 401(k) program with company-matching contributions, health, dental, vision, life, disability insurance, and paid-time off.
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.
Opportunities to do challenging work.
Opportunities to build close relationships with clients.
The expected salary range for this particular position is $154,000-268,000 depending on your experience, skills, and registration status, market conditions and business needs. You have the potential to earn more through RBC’s discretionary variable compensation program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals.
Drives RBC’s high-performance culture.
Enables collective achievement of our strategic goals.
Generates sustainable shareholder returns and above market shareholder value.
Job Skills Data Science, Decision Making, Emerging Technologies, Group Problem Solving, Machine Learning (ML), Multi-Level Communication, Programming Languages.
Additional Job Details
Address: 401 Union Street, Seattle.
City: Seattle
Country: United States of America
Work hours/week: 40
Employment Type: Full time
Platform: Technology and Operations
Job Type: Regular
Pay Type: Salaried
Posted Date: 2026-06-08
Application Deadline: 2026-06-14
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Sprachkenntnisse
- English
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