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Internship Full Stack Machine Learning Engineer Jobs in New York

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

... Internship experience does not apply) * At least 4 years of experience programming with Python ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Lead Machine Learning Engineer

New York, NY · On-site

$112K - $147K/yr

... Internship experience does not apply) * At least 4 years of experience programming with Python ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

... Internship experience does not apply) * At least 4 years of experience programming with Python ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...

Overview As a Senior Machine Learning Engineer at Phia, you'll build and scale production ML ... You'll work across the full ML stack, from data and modeling to deployment and iteration, on ...

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

Sr. Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

... Internship experience does not apply) * At least 4 years of experience programming with Python ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

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Internship Full Stack Machine Learning Engineer information

What are the key skills and qualifications needed to thrive as an Internship Full Stack Machine Learning Engineer, and why are they important?

To succeed as an Internship Full Stack Machine Learning Engineer, you need a solid understanding of programming (Python, JavaScript), basic machine learning concepts, and foundational knowledge in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, web development tools (React, Node.js), and version control systems like Git is typically expected. Strong problem-solving abilities, collaboration skills, and a willingness to learn set exceptional interns apart. These skills enable interns to contribute effectively to both model development and deployment, bridging the gap between data science and software engineering in real-world applications.

What is an Internship Full Stack Machine Learning Engineer?

An Internship Full Stack Machine Learning Engineer is a student or early-career professional who supports both the development of machine learning models and the integration of these models into full-stack applications. This role typically involves working on data preprocessing, building and training machine learning algorithms, and deploying these models within web or mobile applications. Interns in this field gain experience in both backend and frontend technologies, as well as in machine learning frameworks and tools. The position is ideal for those seeking hands-on experience in applying AI solutions within real-world products.

What types of projects and responsibilities can I expect as an Internship Full Stack Machine Learning Engineer?

As an Internship Full Stack Machine Learning Engineer, you can expect to work on end-to-end machine learning projects that involve both model development and integration into web or cloud applications. This may include tasks like cleaning and preparing datasets, building and testing machine learning models, developing APIs to serve predictions, and collaborating with front-end developers to deliver user-facing features. Interns often work closely with data scientists, software engineers, and product managers, gaining exposure to the full development lifecycle. These experiences help build both technical and teamwork skills, laying a strong foundation for a future career in the field.

What is the difference between Internship Full Stack Machine Learning Engineer vs Software Developer Intern?

AspectInternship Full Stack Machine Learning EngineerSoftware Developer Intern
Required SkillsKnowledge of machine learning, programming (Python, JavaScript), full stack development, data handlingProficiency in programming languages (Java, Python, JavaScript), software development, basic algorithms
Work EnvironmentCollaborates on ML models, data pipelines, backend and frontend developmentFocuses on application development, coding, debugging, and testing
Industry UsageUsed in AI-driven companies, tech startups, data science teamsCommon in software firms, app development companies, tech startups

The Internship Full Stack Machine Learning Engineer role emphasizes working with machine learning models and data-driven applications, combining full stack development skills with AI expertise. In contrast, a Software Developer Intern focuses more on traditional software development tasks like coding and debugging. Both roles are valuable entry points in tech, but they target different skill sets and project types.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in New York? The most popular types of Full Stack Machine Learning Engineer jobs in New York are:
What job categories do people searching Internship Full Stack Machine Learning Engineer jobs in New York look for? The top searched job categories for Internship Full Stack Machine Learning Engineer jobs in New York are:
What cities in New York are hiring for Internship Full Stack Machine Learning Engineer jobs? Cities in New York with the most Internship Full Stack Machine Learning Engineer job openings:

Vice President, Full-Stack Engineer

BNY

Jersey City, NJ

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

77232 - Vice President, Fullstack JAVA Engineer

At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We are seeking a highly skilled Senior AI & Full Stack Engineer to join our Digital Channels Engineering team. This role is located in Jersey City, New Jersey or New York, NY and will be responsible to design, develop, and deliver intelligent, scalable digital solutions. This role combines expertise in AI-driven systems (including AI agents and conversational AI) with end-to-end full stack application development.

You will work across the technology stack to build high-performance applications while integrating advanced AI capabilities that enhance client experience and operational efficiency. The role requires close collaboration with cross-functional teams including Engineering, Data Science, DevOps, and Product to drive innovation in a secure and compliant environment.

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

  • Design and implement scalable, secure, and performant backend services using Java, Spring Boot, and REST APIs.
  • Lead the design and development of full-stack applications by utilizing industry best practices and cutting-edge technologies.
  • Collaborate with cross-functional teams to define, design, and implement new features that enhance user experience and system performance.
  • Conduct code reviews and provide technical mentorship to junior engineers, fostering a culture of continuous learning and improvement.
  • Ensure high quality and performant code through comprehensive testing and debugging processes.

    AI & Intelligent Systems

  • Design, develop, and deploy AI agents, chatbots, and conversational AI solutions
  • Integrate AI capabilities with enterprise platforms and business workflows
  • Apply NLP, machine learning, and AI frameworks to build intelligent automation
  • Monitor, evaluate, and continuously improve AI model and agent performance
  • Ensure AI solutions adhere to security, privacy, and responsible AI standards

    Full Stack Development

  • Develop scalable backend services using Java, Spring Boot, and microservices architecture
  • Build responsive front-end applications using Angular and modern UI frameworks
  • Design and consume RESTful APIs for seamless system integration
  • Implement reactive programming patterns for high-performance applications
  • Manage the full application lifecycle-from development to deployment and monitoring

    DevOps & Engineering Practices

  • Build and maintain CI/CD pipelines using tools such as GitLab CI/CD
  • Containerize and deploy applications using Docker and Kubernetes
  • Develop automated testing frameworks (unit, integration, and end-to-end)
  • Troubleshoot production issues and drive root cause analysis
  • Collaborate in Agile/Scrum environments to deliver high-quality solutions

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

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 5 - 9 years of experience in software development with strong full stack capabilities
  • Proficiency in Java (8+), Spring Boot, and Angular (v6+)
  • Strong programming skills in Python, Java, or similar languages
  • Experience building RESTful APIs and microservices architectures
  • Hands-on experience with AI/ML frameworks (e.g., LangChain, TensorFlow, PyTorch, Dialogflow, Rasa) 
  • Solid understanding of NLP, machine learning, and AI integration techniques
  • Experience with CI/CD pipelines, Git, and automation tools
  • Familiarity with Docker, Kubernetes, and cloud platforms
  • Knowledge of security best practices (OAuth2, JWT) 
  • Strong analytical, problem-solving, communication, and collaboration skills

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.

This position is at-will and the Company reserves the right to modify base (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance and market factors."

At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

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.