Director, AI / Machine Learning Software Engineer

at  BNY Mellon

BRING YOUR IDEAS. MAKE HISTORY.

BNY Mellon offers an exciting array of future-forward careers at the intersection of business, finance, and technology. We are one of the world’s top asset management and banking firms that manages trillions of dollars in assets, custody and/or administration. Known as the “bank of banks” - 97% of the world’s top banks work with us as we lead and serve our customers into the new era of digital.
With 240 years of rich history and industry firsts, BNY Mellon has been built upon our proven ability to evolve, lead, and drive new ideas at every turn. Today, we’re approximately 50,000 employees across 35 countries with a culture that empowers you to grow, take risks, experiment and be yourself. This is what #LifeAtBNYMellon is all about.
We’re seeking a future team member for the role of Director, AI / Machine Learning Software Engineer to join our AI HUB. This role is located in Pittsburgh, PA – HYBRID (3 days/week in office).

In this role, you’ll make an impact in the following ways:

• Leads initiatives, provides strategic direction on AI architecture, technical expertise, and craft strategic approaches on Machine Learning and Artificial Intelligence products.
• Has deep knowledge of the field, and the practical applications of ML/AI concepts.
• Directly contribute to strategic goals and corporate direction.
• Provide organizational leadership and develop proposals to move the business forward.
• Conduct technical research studies to provide additional facts needed to make informed strategic decisions.
• Establishes strong relationships with internal teams to gain an understanding of their strategies, objectives, and tactics to develop a comprehensive success measurement plan.
• Provides expertise in the most complex processes of integrating ML/AI across existing and modified applications.
• Ensures that ML/AI solutions adhere to governance policies on model risk management and model & software development lifecycles.
• Collaborates with and supports leaders and their teams from multiple areas of expertise to ensure strategies and data science products are aligned and support business and operating results.
• Stays abreast of emerging technologies and identifies potential use of new and existing technology within lines of business by participating in industry-wide conferences and research and by having in-depth knowledge of various business areas.
• Contributes to the achievement of Application Development objectives. Mentors and develops a successful team of machine learning engineers.

To be successful in this role, we’re seeking the following:

• Advanced degree in STEM engineering degree, or equivalent work experience with experience preferred in related fields
• 8+ years of related experience required; experience in the securities or financial services industry is a plus
• Ability to communicate technical ideas and express basic concepts
• experience in machine learning, Reinforcement Learning

At BNY Mellon, our inclusive culture speaks for itself. Here’s a few of our awards:

• Fortune World’s Most Admired Companies & Top 20 for Diversity and Inclusion, 2023
• Bloomberg’s Gender Equality Index (GEI), 2023
• Human Rights Campaign Foundation, Corporate Equality Index, 2023
• Best Places to Work for Disability Inclusion, Disability: IN – 100% score, 2023
• Dow Jones Sustainability Indices, Top performing company for Sustainability, 2023
• Forbes Blockchain 50, 2023

Our Benefits:
BNY Mellon offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves that can support you and your family through moments that matter.
BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans

In this role, you’ll make an impact in the following ways:

• Leads initiatives, provides strategic direction on AI architecture, technical expertise, and craft strategic approaches on Machine Learning and Artificial Intelligence products.
• Has deep knowledge of the field, and the practical applications of ML/AI concepts.
• Directly contribute to strategic goals and corporate direction.
• Provide organizational leadership and develop proposals to move the business forward.
• Conduct technical research studies to provide additional facts needed to make informed strategic decisions.
• Establishes strong relationships with internal teams to gain an understanding of their strategies, objectives, and tactics to develop a comprehensive success measurement plan.
• Provides expertise in the most complex processes of integrating ML/AI across existing and modified applications.
• Ensures that ML/AI solutions adhere to governance policies on model risk management and model & software development lifecycles.
• Collaborates with and supports leaders and their teams from multiple areas of expertise to ensure strategies and data science products are aligned and support business and operating results.
• Stays abreast of emerging technologies and identifies potential use of new and existing technology within lines of business by participating in industry-wide conferences and research and by having in-depth knowledge of various business areas.
• Contributes to the achievement of Application Development objectives. Mentors and develops a successful team of machine learning engineers

To be successful in this role, we’re seeking the following:

• Advanced degree in STEM engineering degree, or equivalent work experience with experience preferred in related fields
• 8+ years of related experience required; experience in the securities or financial services industry is a plus
• Ability to communicate technical ideas and express basic concepts
• experience in machine learning, Reinforcement Learnin