Senior Specialist, AI / Machine Learning Data Engineer

BNY Mellon

$120K — $150K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science engineering or related field, or equivalent work experience.
  • 2-6 years of software development experience; financial services experience is a plus.
  • Advanced experience (preferably 5+ years) in applied AI/ML, software engineering, or model development.
  • Ability to work independently while collaborating with others on solution design.
  • Strong understanding of software engineering fundamentals and modern AI/ML tooling.

Responsibilities

  • Design, develop, and support applied AI solutions for machine learning and AI products.
  • Utilize knowledge of Applied AI, LLMs, and prompt engineering for engineering use cases.
  • Conduct research and prototyping to evaluate AI tools and model approaches.
  • Collaborate with engineers and stakeholders to understand requirements and workflows.
  • Enhance the software development lifecycle using AI to support engineering teams.
  • Deliver high-quality engineering work to achieve Application Development objectives.

Benefits

  • Access to flexible global resources for personal and professional growth.
  • Generous paid leaves, including paid volunteer time.
  • Participation in a 401(k) plan and company-sponsored insurance plans.
  • Focus on health and personal resilience support programs.
  • Competitive compensation and pay-for-performance philosophy.
Full Job Description
Job Description

We're seeking a future team member for the role of Senior Specialist, AI / Machine Learning Engineer to join our AI Hub team. This role is located in New York, NY.

This role is located in our AI Hub and is focused on building AI-powered tools and platforms that improve the way engineers design, build, test, and operate software. This is an exciting opportunity for a strong individual contributor who can apply AI and software engineering skills to develop practical solutions, contribute to technical innovation, and help deliver scalable capabilities in support of engineering teams.

In this role, you'll make an impact in the following ways:
  • Design, develop, and support applied AI solutions, contributing hands-on to machine learning and artificial intelligence products and features.
  • Bring solid knowledge of Applied AI, LLMs, prompt engineering, fine tuning, model evaluation, and approaches to building fit-for-purpose models and copilots for engineering use cases.
  • Perform technical research, experimentation, and prototyping to evaluate tools, frameworks, and model approaches, and help translate results into implementation recommendations.
  • Partner with engineers and stakeholders to understand requirements, workflows, and user needs, and contribute to success measures that demonstrate solution value and adoption.
  • Apply AI to improve the software development lifecycle and support builders, designers, and developers through reliable, secure, and effective tools and capabilities.
  • Contribute to the achievement of Application Development objectives by delivering high-quality engineering work, supporting team standards, and continuously building technical depth across AI and software engineering practices.


To be successful in this role, we're seeking the following:
  • Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required.
  • 2-6 years of experience in software development required; experience in the securities or financial services industry is a plus;
  • Advanced experience, preferably 5+ years, in applied AI/ML, software engineering, or model development, including experience building and testing production-oriented solutions.
  • Ability to work independently as a strong technical contributor while collaborating closely with peers and senior engineers on solution design and delivery.
  • Strong understanding of software engineering fundamentals, enterprise development practices, and modern AI/ML tooling, with an interest in scalable and sustainable architectures.
  • Ability to communicate technical concepts clearly, learn quickly, and work effectively with both technical and non-technical stakeholders.


Our Benefits and Rewards:

BNY 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, including paid volunteer time, that can support you and your family through moments that matter.

BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting.

Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee's eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, the employee will be in an "at will" position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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