General

• Lead data science projects or teams, aligning with business needs and delivering value.
• Drive the development and implementation of innovative algorithms and methodologies to address complex business challenges.
• Define and communicate the technical direction and strategy for the team and the project.
• Provide technical guidance and promoting best practice within the team.
• Ensure the quality of project deliverables meet the required standards.
• Tell compelling, data-driven stories visually and verbally.
• Collaborate with cross-functional teams, providing technical leadership in the development of AI-driven applications.
• Optimize for performance, scalability, and practical applicability in real-world scenarios.
• Stay up-to-date on ongoing AI development activities across the company.

Generative AI and LLM

• Develop, implement, and optimize large language models and Generative AI technologies, including training/finetuning and computation optimizations.
• Collaborate with software engineers to deploy LLM and other Generative AI models into production environments.
• Pre-train and finetune over large GPU clusters while optimizing for various trade-offs.
• Improve upon the state-of-the-art in Generative AI model architectures and training techniques.
• First-hand experience with deep reinforcement learning, fine-tuning methods (like RLHF & DPO) as well as parameter efficient techniques (like LoRA & DoRA).
• Stay up to date with the latest advancements in the field of Generative AI.

Industry research and Innovation

• Lead data science partnerships and IP improvement.
• Conduct pioneering research in Generative AI, NLP, Information Retrieval, Vision and LLMs.
• Stay abreast of the latest advancements in AI technologies.
• Mentor and guide a team of innovative individuals, fostering a culture of innovation, excellence, and continuous learning.

Management

• Work with, leverage, and mentor other data scientists to maximize impact and throughput.

• Live and define a culture, value and practice leadership principles.

• Attract and retain great people; Know each individual's capabilities and aspirations; Invest in the growth of others.

Core/Must have skills

A minimum of 18 years of relevant work experience with a Bachelor's Degree or 10+ years of work experience with an Advanced degree (e.g. Masters) or 7+ years of work experience with a PhD in Computer Science, Statistics, Mathematics, Machine Learning, or related disciplines.

Deep expertise in data science/machine learning, deep learning, ML Engineering, MLOPs and deployment.

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch).

Experience in deep learning frameworks (like PyTorch or TensorFlow) and distributed training tools (like DeepSpeed or Pytorch Distributed).

Excellent problem-solving skills and the ability to work independently and collaboratively.

Familiarity with cloud platforms (e.g., Azure, AWS) and distributed computing.

Strong understanding of software engineering principles and best practices.

Good to have skills

Proficiency in prompt engineering for machine learning models

Familiarity with Databricks or Azure Machine Learning for scalable data processing and analytics

Knowledge of containerization technologies, such as Docker, for efficient deployment and management of AI/ML solutions

Work Schedule

On-premise

Keywords (If any)

Principal Data Scientist, Generative AI, AI Solution Architect

Why this role is important to us

Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We're driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.

We offer a collaborative environment where technology skills and innovation are valued in a global organization. We're looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.

Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.

About State Street

What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You'll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.

Inclusion, Diversity and Social Responsibility. We truly believe our employees' diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.

State Street is an equal opportunity and affirmative action employer.

Discover more at StateStreet.com/careers

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