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Contract Machine Learning Engineer Jobs in Passaic, 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 ...

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

New York, NY · On-site

$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 ...

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

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 ...

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 ...

Root Access Inc

Machine Learning Engineer

New York, NY · On-site

Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY · On-site

$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 ...

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.

NYULMC

Machine Learning Engineer

New York, NY · On-site

As a ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will be responsible for driving specific projects forward ...

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 ...

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All JobsContract Machine Learning Engineer JobsContract Machine Learning Engineer Jobs in Passaic, NJ

Contract Machine Learning Engineer information

See Passaic, NJ salary details

$32.6K

$133.3K

$200.4K

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

As of Jul 15, 2026, the average yearly pay for contract machine learning engineer in Passaic, NJ is $133,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $160,500.00 per year, depending on experience, location, and employer.

What is a Contract Machine Learning Engineer job?

A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.

What are the typical day-to-day responsibilities of a Contract Machine Learning Engineer?

As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.

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

To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.

What cities near Passaic, NJ are hiring for Contract Machine Learning Engineer jobs? Cities near Passaic, NJ with the most Contract Machine Learning Engineer job openings:
Contract Machine Learning Engineer jobs near you
Infographic showing various Contract Machine Learning Engineer job openings in Passaic, NJ as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $133,329 per year, or $64.1 per hour.
Machine Learning Engineer

Machine Learning Engineer

The Associated Press

Manhattan, NY • On-site

Full-time

Re-posted 17 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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