Principal Applied Data Scientist - GenAI

- Serve as GenAI lead for implementing specific Personal Investor transformation areas such as knowledge management system, call intelligence system, or coversational systems
- Supervise the work of junior data scientists and engineers and collaborate with a cross functional team to drive business outcomes.
- Support GenAI solutions development, prioritizing areas for exploration and improvement for the team, and reviewing in-development models for quality as they are being trained.
- Prioritize generative AI features, models, and controls, engaging with product leaders and serving as the GenAI subject matter expert to drive tangible business outcomes
- Design and manage the model quality process, including both automated pipelines and manual review.
- Evaluate new technologies including vendor solutions to drive best practices in incorporating third-party technologies in a responsible manner
- Industry and Academic Awareness: Stay up-to-date with the latest developments in around AI and associated technologies in both academia and industry, integrating relevant advancements into our GenAI strategy.
- Business partner alignment: Work closely with business partners, external partners, and other cross functional teams to align on GenAI requirements and show sense of urgency in delivering insights.
- Technical Implementation: Translate research findings into practical solutions, exploring novel techniques, algorithms, and approaches that can be applied to real-world challenges. developing and optimizing GenAI models and systems for real-world applications.
- Effective Communication: Communicate complex technical concepts clearly and concisely to both technical and non-technical stakeholders, fostering a culture of knowledge sharing and learning.

Qualifications:

- MS/Ph.D. in Computer Science, Machine Learning, or a related field with a strong focus on GenAI
- 5+ years of NLP implementation experience in the industry including experience building, scaling, and optimizing training and inferencing APIs for deep neural networks
- 7+ years of excellent coding experience in languages such as Python and PySpark,
- Expert knowledge and extensive exposure to opensource/commercial LLM’s leveraging technologies such as Hugging Face, OpenAI, etc..
- Strong communication skills, with the ability to explain complex concepts to both technical and non-technical audiences.
- A deep understanding of the GenAI landscape, including recent advancements and emerging trends in both academia and industry
- Knowlegeable about responsible use of GenAI models
- Experience working in cross-functional teams and a track record of balancing technical decisions with business objectives
- Experience with speech synthesis and call transcription and generating insights using it.

Preferred Qualifications:
- Client facing/consulting experience preferred
- Deep experience with call transcription and generating deep insights using it in both batch and real-time scenarios
- Contributions to AI/ML community through publications, open source contributions, articles, etc..

Special Factors

Sponsorship

Vanguard is offering visa sponsorship for this position.

About Vanguard

We are Vanguard. Together, we’re changing the way the world invests.

For us, investing doesn’t just end in value. It starts with values. Because when you invest with courage, when you invest with clarity, and when you invest with care, you can get so much more in return. We invest with purpose – and that’s how we’ve become a global market leader. Here, we grow by doing the right thing for the people we serve. And so can you.

We want to make success accessible to everyone. This is our opportunity. Let’s make it count.

Inclusion Statement

Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.”

We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.

When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose.

Our core purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

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.