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Internship Full Stack Machine Learning Engineer Jobs in Queens, NY

WITHIN

Machine Learning Engineer

New York, NY · Hybrid

$90.90K - $254.10K/yr

Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless ... Expertise in machine learning techniques, including but not limited to regression, classification ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

WITHIN

Machine Learning Engineer

New York, NY · Hybrid

$90.90K - $254.10K/yr

Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless ... Expertise in machine learning techniques, including but not limited to regression, classification ...

WITHIN

Machine Learning Engineer

New York, NY · On-site

$90.90K - $254.10K/yr

Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless ... Expertise in machine learning techniques, including but not limited to regression, classification ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...

DataAnnotation

Full Stack Engineer

Jersey City, NJ · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

DataAnnotation

Full Stack Engineer

Newark, NJ · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineers build production grade machine learning algorithms that operate in real time or at scale. They have a very deep understanding of machine learning algorithms and cloud ...

DataAnnotation

Full Stack Engineer

Yonkers, NY · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

DataAnnotation

Full Stack Engineer

Stamford, CT · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

DataAnnotation

Full Stack Engineer

New York, NY · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

DataAnnotation

Full Stack Engineer

Paterson, NJ · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Atrium

Contract Machine Learning Engineer

Manhattan, NY · On-site

$75 - $110/hr

This is an opportunity for a Contract Machine Learning Engineer to work alongside experienced Engineers, Data Scientists, and Platform teams in a fast-paced and collaborative environment. Salary ...

DataAnnotation

Full Stack Engineer

Elizabeth, NJ · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

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All JobsInternship Full Stack Machine Learning Engineer JobsInternship Full Stack Machine Learning Engineer Jobs in Queens, NY

Internship Full Stack Machine Learning Engineer information

See Queens, NY salary details

$46.4K

$140.6K

$198.8K

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

As of Jun 1, 2026, the average yearly pay for internship full stack machine learning engineer in Queens, NY is $140,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $164,900.00 per year, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Internship Full Stack Machine Learning Engineer jobs in Queens, NY? For Internship Full Stack Machine Learning Engineer jobs in Queens, NY, the most frequently searched job titles are:
What cities near Queens, NY are hiring for Internship Full Stack Machine Learning Engineer jobs? Cities near Queens, NY with the most Internship Full Stack Machine Learning Engineer job openings:
Internship Full Stack Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

WITHIN

New York, NY • Hybrid

$90.90K - $254.10K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

About the Role: We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary focus on Ad Score and Ad Account Health. You will play a crucial part in delivering actionable insights and solutions to our clients, and your work will be integral to our mission.

Responsibilities include but are not limited to;

  • ML Model Development: Lead the development and refinement of predictive ML models, particularly Ad Score and Ad Account Health.
  • Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization.
  • Feature Engineering: Collaborate with data engineers to create and maintain feature engineering pipelines to support model training.
  • Model Evaluation: Implement rigorous evaluation methodologies to assess model performance, making necessary adjustments for continuous improvement.
  • Deployment and Integration: Work closely with engineering teams to deploy models and integrate them into our products through APIs.
  • Collaboration: Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into our products.
  • Research and Innovation: Stay up-to-date with the latest developments in the field of data science and machine learning, and explore innovative approaches to problem-solving.

Requirements

  • Master's or Ph.D. in a related field with a strong academic background.
  • Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models.
  • Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning.
  • Proficiency in data manipulation, feature engineering, and model evaluation.
  • Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn.
  • Excellent communication skills and the ability to collaborate effectively within cross-functional teams.
  • A passion for continuous learning and staying updated with the latest trends and technologies in data science.
  • Strong problem-solving abilities and the capacity to translate complex data into actionable insights.
Required knowledge of:
  • Python
  • SQL
  • Cloud Platforms (GCP, AWS, Azure)
  • Data Warehouses (BigQuery, Snowflake, Redshift)
  • LLMs / AI APIs
  • Git / GitHub
Nice to have:
  • Data Transformation (dbt)
  • Semantic Layers (Cube, Looker, dbt Metrics)
  • TypeScript
  • Bayesian modeling experience - ideally Marketing Mix Models (PyMC, Stan, or similar..). Understands priors, MCMC sampling, posterior diagnostics.
  • Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale. Familiar with incrementality measurement.
  • Marketing/advertising domain- understanding of attribution, media channels (paid social, search, display, video), campaign structures.
  • Nice to have - familiarity with adstock/saturation curves and budget optimization

Our interview process includes, but is not limited to the following:

  • Excel and Typing Test

We offer a competitive salary and benefits based on ability level, including:

  • Unlimited vacation policy
  • Monthly Phone Stipend
  • Comprehensive Medical, Dental, and Vision insurance options
  • 401(K) plan with matching
  • Dog friendly office
  • Hybrid work opportunity
  • Professional Development Program
  • Bonus Perk - Seamless allowance

Total compensation based on education, experience, and skills level ($90,900-$254,100)

  • Level 1 - Possesses essential capabilities

    • $90,900-$123,540

  • Level 2 - Possesses developing capabilities

    • $123,540-$156,180

  • Level 3 - Possesses notable capabilities.

    • $156,180-$188,820

  • Level 4 - Possesses strong capabilities.

    • $188,820-$221,460

  • Level 5 - Possesses advanced capabilities.

    • $221,460-$254,100

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