AI Scientist
TWO EMBARCADERO CENTRE, 2 EMBARCADERO CENTER:SAN FRANCISCO, United States
Full Time Mid-level / Intermediate USD 135K - 225K
Job Summary
Job Description
What is the opportunity?
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.
What will you do?
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
Expected to code 90% of the time
What do you need to succeed?
Must Have:
Masters degree in computer science, Machine Learning, Deep Learning or equivalent experience.
3+ years of experience building Deep Learning or Machine Learning models; in depth knowledge of Machine Learning, deep learning and Generative AI.
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 Have:
Experience implementing GenAI systems into production
Experience with model evals and model monitoring
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 bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Flexible work/life balance options
Work in a dynamic, collaborative, progressive, and high-performing team
Ability to make a difference and lasting impact
The good-faith expected salary range for the above position is $135,000 - $225,000 depending on factors including but not limited to the candidate’s experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.
RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:
· Drives RBC’s high performance culture
· Enables collective achievement of our strategic goals
· Generates sustainable shareholder returns and above market shareholder value
#LI-POST
Job Skills
Data Mining, Data Science, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)Additional Job Details
Address:
TWO EMBARCADERO CENTRE, 2 EMBARCADERO CENTER:SAN FRANCISCOCity:
San FranciscoCountry:
United States of AmericaWork hours/week:
40Employment Type:
Full timePlatform:
CAPITAL MARKETSJob Type:
RegularPay Type:
SalariedPosted Date:
2025-06-25Application Deadline:
2025-07-12Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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Tags: Architecture Banking Computer Science Dart Data Mining Deep Learning Generative AI Machine Learning ML models NLP Pipelines Python RAG Research
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Insurance Salary bonus Signing bonus Startup environment Team events
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