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Internship Full Stack Machine Learning Engineer Jobs in New York

Job#: 3049321 Machine Learning Engineer Location: Jersey City, New Jersey (Onsite) Employment Type ... You can access a full list of our benefits, programs, support teams and resources within our ...

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build ... Practical experience with deep learning: internships, undergrad or masters' level research projects ...

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 +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 ...

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build ... Practical experience with deep learning: internships, undergrad or masters' level research projects ...

They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to various aspects such as ...

They are seeking Machine Learning Engineers to build a platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to the development of core technology and ...

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 ...

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 ...

Showing results 41-60

Internship Full Stack Machine Learning Engineer information

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 do internship full stack machine learning engineers do?

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 skills and qualifications are needed to thrive as an internship full stack machine learning engineer?

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 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 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:

Machine Learning Engineer

Jersey City, NJ • On-site

Apex Systems
IT Services • 1 - 5K employees

Other

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago


Job description

Job#: 3049321
Job Description:
Machine Learning Engineer
Location: Jersey City, New Jersey (Onsite)
Employment Type: Contract
Contract Duration: 12 Months
Role Overview
This position involves applying advanced machine learning and natural language processing techniques to develop predictive analytics, information retrieval, and document intelligence solutions. The role focuses on use cases within wealth management, private banking, client advisory, compliance, or supervision. The successful candidate will develop production-grade AI systems and scalable data pipelines in a regulated financial institution.
Key Responsibilities
  • Applying advanced machine learning and natural language processing techniques to develop predictive analytics and document intelligence solutions.
  • Developing production-grade machine learning and AI systems using Python, SQL, distributed data processing, and software engineering practices.
  • Evaluating machine learning and AI solutions through quantitative validation, performance monitoring, accuracy measurement, and scalability testing.
  • Designing and implementing scalable data pipelines and model workflows for large structured and unstructured financial-services datasets.
  • Preparing model methodology, technical design, performance evaluation, and governance documentation to support model risk management and auditability.
Required Qualifications
Education: An advanced graduate degree in Engineering, Mathematics, Statistics, Computer Science, Actuarial Science, Economics, or a related technical field is required.
Experience: This role requires 1-2 years of experience in quantitative research, financial engineering, data science, or risk analytics within the securities industry. A background in machine learning, hypothesis testing, regression analysis, statistics, text analytics, and predictive analytics with noisy data is necessary.
Technical Skills: Candidates must have experience with data prototyping and coding using tools such as Python or R, Plotly, Shiny, Presto, Tensorflow, Keras, or PyTorch. A strong knowledge of advanced statistical methods, Bayesian learning, pattern recognition, outlier detection, and predictive modeling methods like decision trees and random forests is essential. Knowledge of financial engineering for model development and validation is also required.
Preferred Qualifications
  • Proficient communication skills.
  • Experience writing model documentation.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.