AI Scientist

RBC; San Francisco (CA); On-site; USD 135,000 - 225,000; Full time

Job summary

A leading company in Capital Markets is looking for an AI Scientist to lead AI initiatives in Quant and Tech Services. This position involves building end-to-end AI solutions and managing Generative AI pipelines while collaborating with various teams such as Research, Banking, Sales, and Trading. Requires a Master's degree and extensive experience in Machine Learning and AI operations.

Benefits

Comprehensive Total Rewards Program

Flexible work/life balance options

Opportunities for development through coaching

Qualifications

• 3+ years of experience building ML or DL models.
• Knowledge of algorithms and data structures.
• Experience with Generative AI production systems.

Responsibilities

• Build end to end AI & ML solutions.
• Manage AIOps and pipelines for Generative AI.
• Code 90% of the time.

Skills

Data Mining

Machine Learning

Natural Language Processing (NLP)

Predictive Analytics

Python

Education

Masters degree in computer science or equivalent

Job description

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 FRANCISCO

City:

San Francisco

Country:

United States of America

Work hours/week:

40

Employment Type:

Full time

Platform:

CAPITAL MARKETS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-06-25

Application Deadline:

2025-07-12

Note: 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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