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Machine Learning Engineer Jobs in Ridgewood, NJ (NOW HIRING)

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112.10K - $147.70K/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 ...

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 ...

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 ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112.10K - $147.70K/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

$112.40K - $148.10K/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 ...

SARDINE

Machine Learning Engineer

Manhattan, NY · Remote

About The Role As a Machine Learning Engineer, you'll do more than build models - you'll design the systems that make fraud detection possible. You'll work across modeling, data pipelines, and ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site

$112.10K - $147.70K/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 ...

Kitware

Machine Learning Engineer

New York, NY · 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

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112.40K - $148.10K/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 ...

Indeed

Machine Learning Engineer

Manhattan, NY · On-site

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

People In AI

Senior Machine Learning Engineer

Manhattan, NY · Remote

$115.20K - $158.20K/yr

Senior Machine Learning Engineer, Personalization & Representation Learning Location: Remote, United States Company: A rapidly scaling AI startup building machine learning infrastructure that ...

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 ...

Button

Senior Machine Learning Engineer

Manhattan, NY · On-site

$153K - $198K/yr

Senior Machine Learning Engineer Button's mission is to empower the companies shaping the creator and affiliate economy - fueling mobile growth with innovation and new paths to monetization. Today ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Ridgewood, NJ

Machine Learning Engineer information

See Ridgewood, NJ salary details

$31.9K

$130.3K

$195.8K

How much do machine learning engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for machine learning engineer in Ridgewood, NJ is $130,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $156,800.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What job categories do people searching Machine Learning Engineer jobs in Ridgewood, NJ look for? The top searched job categories for Machine Learning Engineer jobs in Ridgewood, NJ are:
What cities near Ridgewood, NJ are hiring for Machine Learning Engineer jobs? Cities near Ridgewood, NJ with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Ridgewood, NJ as of May 2026, with employment types broken down into 1% Internship, 48% Full Time, 49% Part Time, and 2% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $130,287 per year, or $62.6 per hour.
Machine Learning Engineer

Machine Learning Engineer

The Associated Press

Manhattan, NY • On-site

Full-time

Posted 7 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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