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Contract Machine Learning Engineer Jobs in Glassboro, NJ

Elsevier

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

RELX

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

Elsevier

Senior ML Ops Engineer

Philadelphia, PA

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

RELX Group plc

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

Slalom Consulting

General Information

Philadelphia, PA · On-site

$60.50 - $78.75/hr

Project Based Contract Through End of Year with Likely Extension About Us Slalom is a purpose-led ... Engineer to design, deploy, and operate production-grade machine learning and Generative AI ...

Deloitte

Senior AI Engineer - SFL Scientific

Philadelphia, PA · On-site

$105K - $144K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

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

Contract Machine Learning Engineer information

See Glassboro, NJ salary details

$30.5K

$124.5K

$187.1K

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

As of Sep 8, 2026, the average yearly pay for contract machine learning engineer in Glassboro, NJ is $124,501.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $149,900.00 per year, depending on experience, location, and employer.

What is a contract machine learning engineer?

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 are the most commonly searched types of Machine Learning Engineer jobs in Glassboro, NJ?

The most popular types of Machine Learning Engineer jobs in Glassboro, NJ are:

What are popular job titles related to Contract Machine Learning Engineer jobs in Glassboro, NJ?

For Contract Machine Learning Engineer jobs in Glassboro, NJ, the most frequently searched job titles are:

What cities near Glassboro, NJ are hiring for Contract Machine Learning Engineer jobs?

Cities near Glassboro, 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 Glassboro, NJ as of August 2026, with employment types broken down into 3% Internship, 73% Full Time, 21% Contract, and 3% Nights. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $124,501 per year, or $59.9 per hour.

Machine Learning Systems Engineer - Video Computer Vision

Socket.dev

Mount Laurel Township, NJ • On-site

$150 - $200/hr

Other

Posted 3 days ago

New

Job description

The incredible potential of multimodal foundation models and large language models has unlocked machine learning applications that were previously thought infeasible. The Video Computer Vision (VCV) group is looking for a highly motivated and skilled Machine Learning Systems Engineer to help us ship cutting‑edge computer vision technology on Apple devices. The VCV organization has pioneered groundbreaking features like FaceID/FaceKit, Gaze/Hand Gesture Control, Body Tracking, and 2D/3D Scene Understanding fundamentally changing how millions of users interact with technology. We seamlessly balance research and product requirements to deliver pioneering, Apple‑quality experiences. By innovating across the full stack and partnering closely with hardware, software, and AI teams, we shape future products and bring our architectural vision to life.

Description

As a member of the Video Computer Vision team, you will train, evaluate, and deploy purpose‑built vision models on Apple hardware. You will develop innovative techniques to optimize model performance, efficiency, and scalability, ensuring a seamless user experience under strict on‑device constraints.

Minimum Qualifications

Bachelor's degree in Computer Science, Machine Learning, or a related discipline, and 3+ years of relevant industry experience. Strong ML fundamentals. Proven track record of writing high‑quality production code for shipped on‑device CV/ML features deployed on embedded platforms. Solid understanding of operating system fundamentals and extensive programming experience in Python and C++. Hands‑on experience with PyTorch and familiarity with the end‑to‑end ML lifecycle (data preprocessing, training, evaluation, and edge deployment). Experience with Supervised Fine‑Tuning (SFT) pipelines to adapt vision and multimodal foundation models for specialized, on‑device downstream tasks. Robust foundational understanding of machine learning architectures, specifically Multimodal LLMs and the integration of ML components into complex production systems.

Preferred Qualifications

Programming experience with Swift and familiarity with CoreML, CoreFoundation, and RealityKit frameworks. Fundamental knowledge of real‑time video pipelines, image transformations, and rendering loops. Experience optimizing models for neural network accelerators (e.g., Apple Neural Engine or mobile GPUs).

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