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Principal AI/ML Scientist

Vanguard

Principal AI/ML Scientist

Vanguard

Malvern, PA; Philadelphia, PA

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Flexible Hours

Flexible Hours

Required Skills

Python

Machine Learning

Generative AI

Deep Learning

Reinforcement Learning

TensorFlow

PyTorch

Scikit-learn

AWS

AWS SageMaker

Responsibilities:

  • Research, design, and implement advanced AIML products to streamline and reduce the software development lifecycle, leveraging in-depth knowledge of IT Software development processes.
  • Engage with stakeholders to understand business processes and develop hypotheses, translating requirements into AIML approaches for IT optimization.
  • Develop highly complex AIML solution with the highest level of quality control and risk assessment and prepare actionable recommendations to senior leadership, focusing on IT process and productivity enhancement.
  • Drive innovative AIML applications and stay ahead of industry trends, partnering with business leaders to adopt and grow AIML portfolio in IT operations.
  • Continuously research and explore most advanced AI techniques, particularly in Generative AI including Advanced RAG, Fine-tuning LLMs, Agentic frameworks and Reinforcement learning, maintaining expert knowledge in the space.
  • Demonstrate thought leadership at both internal and external conferences. Mentor data scientists on the team, serving as the highest point of escalation and fostering a culture of innovation and AIML excellence.

Qualifications:

  • Master's or PhD in Data Science, Computer Science, Machine Learning, Statistics, or a related field.
  • 10+ years in data science and machine learning, with 5+ years of in-depth experience in generative AI, autonomous agents, deep learning, and reinforcement learning.
  • Advanced Python programming and proficiency in AI/ML frameworks (Tensor Flow, Py Torch, Scikit-learn).
  • Proficiency in cloud-based AWS AI services and tools, particularly AWS Sage Maker.
  • Proven history of delivering groundbreaking AI solutions for IT process improvement and leading innovation.
  • In-depth IT domain knowledge of software development processes and IT software methodologies including UX design, microservices, and database-related terminology.
  • Excellent communication and collaboration skills with cross-functional teams.
  • Relevant AI/ML or cloud certifications are a plus.

Special Factors
Sponsorship

Vanguard is offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work:

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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About Vanguard

Vanguard

A client-owned investment company that offers low-cost mutual funds, ETFs, advice, and related services to institutional and individual investors, and financial professionals.

10,001+

Employees

Kelayres

Headquarters

Reviews

3.4

3 reviews

Work Life Balance

2.5

Compensation

3.2

Culture

2.8

Career

3.5

Management

3.0

45%

Recommend to a Friend

Pros

Competitive compensation package with bonuses

Good foundation for career development

Interesting programs aligned with education

Cons

Long commute requirements (2.5 hours)

Mandatory on-site presence multiple days

Pay below industry standards

Salary Ranges

1,532 data points

Junior/L3

Junior/L3 · Client Relationship Associate

529 reports

$60,018

total / year

Base

$55,076

Stock

-

Bonus

$4,942

$46,375

$78,763

Interview Experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter/HR Phone Screen

3

Technical/Case Study Round

4

Final Round Interview

5

Offer

Common Questions

Behavioral/STAR

Technical Knowledge

Case Study

Past Experience

Culture Fit