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Machine Learning Engineer Intern Jobs in Hackensack, NJ

Jane Street

Machine Learning Engineer

New York, NY

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

exacare ai

Machine Learning Engineer

New York, NY · On-site

About the Role We are looking for a Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the ...

Reddit

Machine Learning Engineer

New York, NY · On-site +1

$223K - $260K/yr

Collaborate closely with multiple stakeholders across product, engineering, research and marketing. Train, evaluate, test, and deploy machine learning models. Part-time telecommuting is an option.

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Capital One

Sr. Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Virtu Financial

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

Virtu Financial

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

SageSure

Senior Machine Learning Engineer

Jersey City, NJ

$127K - $168K/yr

As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration processes and ensuring fast and efficient model deployment and delivery. You'll work closely with ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY

$114K - $157K/yr

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Hackensack, NJ

Machine Learning Engineer Intern information

See Hackensack, NJ salary details

$27.8K

$46.4K

$96K

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

As of Jul 4, 2026, the average yearly pay for machine learning engineer intern in Hackensack, NJ is $46,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,400.00 and $50,200.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

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 is a Machine Learning Engineer Intern job?

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 are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

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 the most commonly searched types of Machine Learning Engineer jobs in Hackensack, NJ? The most popular types of Machine Learning Engineer jobs in Hackensack, NJ are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Hackensack, NJ? For Machine Learning Engineer Intern jobs in Hackensack, NJ, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Hackensack, NJ look for? The top searched job categories for Machine Learning Engineer Intern jobs in Hackensack, NJ are:
What cities near Hackensack, NJ are hiring for Machine Learning Engineer Intern jobs? Cities near Hackensack, NJ with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Machine Learning Engineer

Machine Learning Engineer

The Associated Press

Manhattan, NY • On-site

Full-time

Posted 6 days ago

Job description

Job Summary:
The Associated Press is an independent global news organization dedicated to factual reporting. They are seeking a Machine Learning Engineer to shape how they build and scale machine learning systems, focusing on developing and optimizing ML inference systems that process large volumes of media data.
Responsibilities:
• Design, build, and scale ML-powered inference systems that process large volumes of text, image, and video data to power news-based intelligence products.
• Productionize and optimize state of the art models and inference pipelines. These models include, but are not limited to:
• + DistilBERT for Named Entity Recognition (NER) over hundreds of thousands of search queries/day
• + TransNetV2 for video shot boundary detection at scale for archival video as well as real-time
• + SBERT for embedding generation from textual descriptions
• + External multimodal APIs for image/video captioning
• Support hybrid search architectures by defining embedding/re-ranking interfaces, evaluation metrics, and inference performance requirements; partner with search/platform engineers on index configuration, sharding, and cluster tuning.
• Design and implement scalable data processing pipelines across hybrid CPU/GPU environments to handle millions of media assets.
• Partner with MLOps and platform engineering to enable the deployment and operation of ML systems reliably, contributing to:
• + Distributed inference architectures
• + Cloud-based execution (e.g., AWS EC2, Batch, Lambda, SageMaker)
• + Efficient resource utilization across workloads
• Optimize inference latency and throughput across distributed workloads using cloud-based resources (AWS EC2, Batch, Lambda, SageMaker, etc.)
• Build resilient asynchronous processing systems for large-scale workloads, ensuring:
• + Reliability (retries, fault tolerance)
• + Efficiency (caching, deduplication)
• + Observability (metrics, logging, traceability)
• Work closely with data scientists and product teams to iterate on models, improve performance, and deliver measurable impact in production.
Qualifications:
Required:
• 8+ years of experience building production ML inference systems.
• Demonstrated ownership of deep-learning inference optimization in production (quantization, distillation, compilation, kernel/profile-level performance work) for transformer NLP and/or CV models.
• Experience with both TensorFlow (SavedModel, tf.data, XLA, TFLite) and PyTorch (TorchScript, ONNX, FastAPI/TorchServe)
• Hands-on experience optimizing inference pipelines on AWS infrastructure, ideally across different types of media assets.
• Experience with video frameworks/tools (e.g., FFmpeg), and working with large-scale frame-level inference.
• Demonstrated experience monitoring and debugging model latency, memory, and pipeline throughput.
• Experience with hybrid search architectures (BM25 + vector search + cross-encoder reranking).
• Familiarity with OpenAI APIs or other foundation model providers.
• Familiarity with open source HuggingFace LLMs.
• Experience with data pipeline and workflow orchestration tools (e.g., Airflow)
Company:
The Associated Press is a source of independent newsgathering, supplying a steady stream of news to its members, and more. Founded in 1846, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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