Senior AI Applied Scientist/Engineer

There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. We are a premier asset manager focused on delivering global investment management excellence and retirement services that investors can rely on today and in the future. The work we do matters. We invite you to explore the opportunity to join us and grow your career with us.

Overview:

We are seeking a passionate, talented, and inventive Senior AI Applied Scientist/Engineer to join our newly formed AI Labs. This hybrid role will focus on rapid experimentation around AI solutions. You will play a crucial part in shaping the future of Generative AI and AI applications within active asset management, influencing AI design and implementation across the firm.

Role Summary & Job Responsibilities:

• Rapid Prototyping and Experimentation: Design, iterate, and execute experiments swiftly, developing prototypes that can be tested and validated in real-world scenarios.
• Consultation and Collaboration: Provide expert consultation to various teams including teams that may decide to take something you have worked on beyond the prototype stage.
• Solution Performance Evaluation: Assess the performance of AI-centric systems and provide recommendations for improvement and optimization. Evaluate the performance of 3rd party AI-enabled products.
• Innovation: Stay abreast of the latest trends, research, and developments in Generative AI, machine learning, and AI technologies to ensure the firm remains at the forefront of innovation.
• Knowledge Sharing: Act as a conduit of knowledge and education, contributing to the institutional knowledge and firm-wide education on AI advancements by helping with training programs, thought leadership writings, etc.

Requirements:

• Master’s Degree in AI/ML with 5+ years of related experience OR equivalent experience.
• Proficient in Machine Learning, NLP, AI, GAI, deep learning, LLMs, multimodal GAI models, transformers, statistical language models, computer vision, etc.
• Excellent communication, problem-solving abilities, and self-sufficiency.
• Technical Skills: Strong coding skills in languages like Python, Java, and experience with deep learning libraries (e.g., PyTorch). Proficiency and practical experience with data processing, prompt engineering, content engineering, fine tuning, RAG, model quantization, Open AI/Azure Open AI APIs, etc., and other APIs across the hyperscalers and beyond. Experience with multiple open-source (G)AI models & tools. System development skills for rapid research prototypes.
• Business Knowledge: Industry Awareness: Understanding of compliance, sales, and investment applications. Research Impact: Proven track record of research efforts leading to significant product impact.

Preferred Qualifications:

• Experience with reinforcement learning and vector databases.
• Competitions, hackathons, etc

FINRA Requirements:

FINRA licenses are not required and will not be supported for this role.

Work Flexibility:

This role is eligible for hybrid work up to three days a week.

Regional Requirements:

Base salary range:

$144,000 – $247,000 USD

For the location of: New York

Placement within the range provided above is based on the individual’s relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.

Commitment to Diversity, Equity, and Inclusion:

We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day.

Benefits:

We invest in our people through a wide range of programs and benefits, including:

• Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions
• Flexible and remote work opportunities
• Health care benefits (medical, dental, vision)
• Tuition assistance
• Wellness programs (fitness reimbursement, Employee Assistance Program)

Our policies may change as our working lives evolve. Yet, our commitment to supporting our associates’ well-being and addressing the needs of our clients, business, and communities is unwavering.