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Machine Learning Engineer Intern Jobs in Copiague, NY

WireScreen

Machine Learning Engineer

New York, NY · On-site

$150K - $195K/yr

As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock the source of truth behind one of the world's economic powerhouses: China. This role is critical to ...

Pangram

Machine Learning Engineer (Junior)

New York, NY · On-site

$135K - $150K/yr

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build software to support the machine learning development cycle from data generation, to training models ...

S&P Global

Machine Learning Engineer II

New York, NY · On-site

We are seeking a mid-level Machine Learning Engineer to help develop and scale RAG systems across the company. This is a hands-on, full-lifecycle ML role with a strong emphasis on retrieval models ...

Good Inside

Machine Learning Engineer

New York, NY

$205K - $235K/yr

The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is not a research or data science role - we're looking for a strong backend engineer who has ...

Good Inside

Machine Learning Engineer

New York, NY · On-site

$205K - $235K/yr

The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is not a research or data science role - we're looking for a strong backend engineer who has ...

Fireworks AI

Applied Machine Learning Engineer

New York, NY · On-site

$170K - $240K/yr

As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and ...

Sweep360

Machine Learning Engineer

New York, NY · On-site

$240K/yr

DR - We're building humanity's defense layer for the AI age and are looking for an exceptional machine learning engineer to build the AI decision system that turns raw signals into trusted ...

Sweep360

Machine Learning Engineer

New York, NY · On-site

$240K/yr

DR - We're building humanity's defense layer for the AI age and are looking for an exceptional machine learning engineer to build the AI decision system that turns raw signals into trusted ...

Attentive

Senior Machine Learning Engineer

New York, NY · On-site

$244K - $320K/yr

About the Role Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Copiague, NY

Machine Learning Engineer Intern information

See Copiague, NY salary details

$26.2K

$43.7K

$90.3K

How much do machine learning engineer intern jobs pay per year?

As of Sep 1, 2026, the average yearly pay for machine learning engineer intern in Copiague, NY is $43,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,400.00 and $47,200.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are popular job titles related to Machine Learning Engineer Intern jobs in Copiague, NY?

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Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Copiague, NY as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $43,720 per year, or $21 per hour.

Machine Learning Engineer

WireScreen

New York, NY • On-site

$150K - $195K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Job description

WireScreen is a fast-growing Series A startup bringing clarity to one of the world's most complex business landscapes. We're building the go-to intelligence platform for navigating global supply chains and China-related risk-revealing the networks, relationships, and financial ties behind companies so our customers can see connections, remove obstacles, and make confident decisions.
Backed by Sequoia Capital and Harpoon Ventures, our team includes a two-time Pulitzer Prize-winning journalist and senior engineers from Google, Twitter, and Oracle. We launched just three years ago and already have strong traction with top-tier government customers-and we're just getting started. If you're excited to make global systems more transparent and secure, now's the perfect time to join us.
About The Role:
As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock the source of truth behind one of the world's economic powerhouses: China. This role is critical to building models that support the two fundamental pieces of our business: entity resolution and our knowledge graph. These systems are the cornerstones that uncover hidden connections within the Chinese economy. You will be contributing to our existing MCP servers and agentic pipelines to classify, cluster and enrich across millions of entities. You will be working with engineering, product and research to expand our AI toolkit, scaling our data ingestion processes, building analytics and insights into our platform at a scale not previously achievable.
Reporting directly to the VP of Engineering, you will work with our data team, enrichment team and product to establish our source of truth and expand our machine learning capabilities.
What You'll Do:
  • Fine tune our existing entity resolution algorithms to uncover hidden connections between people and organizations across China
  • Expand our knowledge graph with alternative data to map out the power structure of China
  • Train, test and deploy ML models that operate on tens of millions of records daily
  • Work with Product to define and implement evaluation harnesses for classical ML and agentic systems
  • Build agent workflows into internal tools to improve the scale and speed of our Research team
What we're looking for:
  • 4+ years of experience working on clustering-type ML problems, ideally in the domain of knowledge graphs / entity resolution, but other domains could include; recommendation engines, cohort analysis, outlier/anomaly detection
  • End-to-end machine learning model experience in production; that you've stood up a service including experimenting, training, testing and tuning a job against a dataset all the way through to deployment and beyond. Model families could include clustering, classification/regression, dimensionality reduction and embeddings, nearest-neighbor/similarity methods (e.g. KNN, SVM), ensembles, NLP, and deep learning.
  • Significant experience with python programming and SQL
Nice to have:
  • Experience working with Frontier/SOTA models and/or fine-tuning your own LLMs for specific tasks
  • Working on problems across large, heterogeneous, messy unstructured datasets and/or with semantic search, computer vision (especially OCR), or linear optimization problems
  • Experience with any of the following technologies: PySpark, Temporal, FastAPI, Scikit-learn, NumPy, Docker, Terraform, Kubernetes
  • Early-stage startup experience (Series B or earlier)
  • B2B SaaS experience
    #LI-LG1
What You'll Love About Wirescreen
At WireScreen, you'll do high-impact work that helps shape the global economy and power competition. We're a mission-driven team with a growth mindset-curious, collaborative, and unafraid to take on bold challenges. You'll be empowered to act, heard when you speak, and supported as you grow. With strong market momentum and ambitious goals, this is an exciting time to join us and help build something that truly matters.
Benefits & Perks
At WireScreen, we care deeply about our team and are committed to supporting your well-being-both in and out of the workplace. Here's how we take care of our employees:
  • Competitive compensation including salary, equity, and rapid growth potential
  • 100% company-paid Medical, Dental, and Vision coverage for employees
  • FSA, HSA, and 401(k) options to help you plan for healthcare expenses and retirement
  • Generous paid time off plus company-wide holidays to help you rest and recharge
  • Pre-tax commuter benefits to help you save on transit and parking
  • Hybrid office schedule designed to give you flexibility while staying connected with your team

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