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Executive Full Stack Machine Learning Engineer Jobs in Pittsburgh, PA

Chemistry

Full Stack Developer

Pittsburgh, PA · On-site

W HAT YOU'LL DO. Full Stack Developers at Chemistry bring ideas to life - from interface to ... Growth and Development Opportunities, keep learning, keep growing. * Retirement Savings, your ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... engineers Qualifications * U.S. Citizenship is required * Advanced degree, or bachelor's with at least 3 years of experience, in Data Science, Machine Learning or a related field Required Skills:

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... engineers Qualifications * U.S. Citizenship is required * Advanced degree, or bachelor's with at least 3 years of experience, in Data Science, Machine Learning or a related field Required Skills:

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... engineers Qualifications * U.S. Citizenship is required * Advanced degree, or bachelor's with at least 3 years of experience, in Data Science, Machine Learning or a related field Required Skills:

System One

Full Stack Developer

Pittsburgh, PA · On-site

Full Stack Developer Location: Dallas or Plano, Texas. No.Openings: 3 Description: Full Stack Developer Position Description We're growing rapidly and are looking for Full Stack Developers to join ...

System One

Full Stack Developer

Pittsburgh, PA · On-site

Full Stack Developer Location: Dallas or Plano, Texas. No.Openings: 3 Description: Full Stack Developer Position Description We're growing rapidly and are looking for Full Stack Developers to join ...

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All JobsFull Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer Jobs in Pittsburgh, PA

Executive Full Stack Machine Learning Engineer information

See Pittsburgh, PA salary details

$43.2K

$130.8K

$184.9K

How much do executive full stack machine learning engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for executive full stack machine learning engineer in Pittsburgh, PA is $130,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $153,400.00 per year, depending on experience, location, and employer.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in Pittsburgh, PA?

For Executive Full Stack Machine Learning Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Pittsburgh, PA look for?

The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Executive Full Stack Machine Learning Engineer jobs?

Cities near Pittsburgh, PA with the most Executive Full Stack Machine Learning Engineer job openings:

Executive Full Stack Machine Learning Engineer jobs near you
Infographic showing various Executive Full Stack Machine Learning Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,837 per year, or $62.9 per hour.

Vice President, AI-Augmented Full-Stack Engineer

BNY Mellon

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

BNY Mellon rating

7.3

Company rating: 7.3 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

123rd of 152 rated financial services

Job description


We're seeking a future team member for the role of AI-Augmented Full-Stack Engineer to join our Cyber Detection and Response Team. This role is located in Pittsburgh, PA, or Lake Mary, FL.
In this role, you'll make an impact in the following ways:
  • Champion Engineering 2.0 practices by embedding AI-augmented development workflows across the team, driving measurable gains in velocity, quality, and innovation.
  • Leverage AI coding assistants (Windsurf, Claude Code) and Model Context Protocols (MCPs) to accelerate software delivery, automate repetitive tasks, and elevate engineering standards
  • Design, develop application using LLM based AI models with RAG/Autogen and prompt engineering for Cybersecurity.
  • Architect, develop, and implement AI / ML powered cybersecurity solutions that integrate with internal and third-party applications
  • Analyze the model output to define, create, and maintain meaningful insights to support advanced analytics. Unlock the full potential of AI to accurate extract data, automate tasks and gain deeper insights from data
  • Collaborate cross-functionally to embed RAG- enabled LLM's features into product/application.
  • Lead technical workshops and knowledge-sharing sessions on AI-augmented development, machine learning integration for Cybersecurity use cases.
  • Mentor and uplift team members in adopting AI-driven engineering practices, fostering a culture of continuous learning and experimentation
  • Collaborate with the team and wider development community to cultivate Agile mindsets and practices, driving effective and adaptive workflows

To be successful in this role, we're seeking the following:
  • Hands-on experience with machine learning concepts and the ability to integrate ML models into production applications and data pipelines.
  • 5-6 yrs of strong hands-on experience in Python, Java programming, service-oriented architecture, REST API and Knowledge of AI/ML concepts and it's applications.
  • 1+ years demonstrated experience building LLM and GenAI tools, including LangChain, RAG, fine-tuning, Agentic AI, prompt engineering and vector databases.
  • Proficient in developing Machine learning or LLM based AI solutions (RAG or Autogen)
  • Proficient in scripting and SQL, Postgres for data management, vector databases for LLM Agents, strong understanding of SDLC lifecycle and managing cloud deployments of containers.
  • Strong technical foundation in computer science/systems engineering, with deep hands-on expertise in UNIX/Linux, networking, performance troubleshooting, and system integration through APIs across complex environments.
  • Proven ability to build scalable, resilient cloud-native solutions using modern cloud and container platforms, supported by experience in DevOps and configuration management tools such as Git, and Artifactory.
  • Experience delivering high-volume, highly available enterprise applications in regulated environments
  • Experience with modern CI/CD pipelines and infrastructure-as-code tooling
  • Ability to communicate effectively with both technical and non-technical stakeholders
  • Excellent verbal and written communication skills

About the Team
At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn
Here's a few of our recent awards:
  • America's Most Innovative Companies, Fortune, 2025
  • World's Most Admired Companies, Fortune 2025
  • "Most Just Companies", Just Capital and CNBC, 2025

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 is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
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.

What BNY Mellon employees say

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About BNY Mellon

Sourced by ZipRecruiter

BNY Mellon is a global investments company dedicated to helping its clients manage and service their financial assets throughout the investment lifecycle. Whether providing financial services for institutions, corporations or individual investors, BNY Mellon delivers informed investment and wealth management and investment services in 35 countries. As of Dec. 31, 2021, BNY Mellon had $46.7 trillion in assets under custody and/or administration, and $2.4 trillion in assets under management. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments. BNY Mellon is the corporate brand of The Bank of New York Mellon Corporation (NYSE: BK). Additional information is available on www.bnymellon.com . Follow us on Twitter @BNYMellon or visit our newsroom at www.bnymellon.com/newsroom for the latest company news.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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