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Research Assistant Machine Learning Jobs in Washington, NJ

Avantor is looking for a dedicated Research Assistant to optimize our Biopharma / R&D organization ... includes learning experiences to support your career growth and success. At Avantor, dare to go ...

Lab Assistant

Piscataway, NJ · On-site

$20.28/hr

Aid with research in publication editing, bioinformatics analysis, neuroimaging analysis ... Apply statistical and machine-learning methods, including functional connectivity analysis, and ...

Research Programmer

Piscataway, NJ · On-site

$120K - $130K/yr

... Machine Learning (ML) and Deep Learning (DL) techniques by Rutgers faculty, postdoctoral fellows ... Track record of working with domain experts, researchers, and stakeholders to support diverse ...

D. in Computer Science, Data Science, Mathematics, Physics, Operations Research, Statistics, or a related field. * 5+ years of experience as a Data Scientist, Machine Learning Engineer, or Applied ...

Senior Data Scientist

Bridgewater, NJ · On-site

$130 - $160/hr

D. in Computer Science, Data Science, Mathematics, Physics, Operations Research, Statistics, or a related field. * 5+ years of experience as a Data Scientist, Machine Learning Engineer, or Applied ...

New

Proven ability to leverage Hugging Face packages (such as CLIP) and apply the latest machine learning research from open-source repositories to real-world projects. * Background in traditional ...

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Research Assistant Machine Learning information

See Washington, NJ salary details

$8

$21

$30

How much do research assistant machine learning jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for research assistant machine learning in Washington, NJ is $21.23, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $24.71 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What cities near Washington, NJ are hiring for Research Assistant Machine Learning jobs? Cities near Washington, NJ with the most Research Assistant Machine Learning job openings:

AI / Machine Learning Engineer

Apogee Global RMS

Piscataway, NJ • On-site

Full-time

Posted 10 days ago


Job description

Apogee Global RMS is seeking an AI / Machine Learning Engineer to support our enterprise client in New Jersey. This role will focus on designing, building, and deploying advanced AI and computer vision solutions that drive innovation in identity, security, automation, and digital trust.
The ideal candidate will have strong experience developing production-grade machine learning models, working across the full ML lifecycle-from data preparation and model development to deployment and optimization across cloud and mobile environments.
Key Responsibilities:
  • Design and develop AI/ML models for computer vision, image classification, object detection, OCR, and feature extraction.
  • Build real-time image quality assessment, data processing, and intelligent capture solutions.
  • Develop and maintain data pipelines for data collection, labeling, cleaning, and augmentation.
  • Optimize ML models for cloud and mobile/on-device inference.
  • Implement fraud detection, anomaly detection, and security-focused AI capabilities.
  • Integrate ML models into production APIs and software platforms.
  • Monitor model performance and continuously improve accuracy and scalability.
  • Collaborate with engineering, product, and business teams to deliver AI-driven solutions.

Requirements
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field (or equivalent experience).
  • 3+ years of experience building and deploying machine learning models in production environments.
  • Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or similar.
  • Experience with computer vision libraries (OpenCV) and OCR technologies.
  • Strong understanding of deep learning architectures for image and text recognition.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Strong problem-solving skills and ability to thrive in a fast-paced environment.
Preferred Qualifications:
  • Experience with model optimization and quantization for mobile deployment.
  • Knowledge of synthetic data generation and data augmentation techniques.
  • Background in fraud detection, anomaly detection, security, or identity technologies.
  • Familiarity with data privacy and compliance standards.
  • Experience contributing to open-source projects or AI research.
What You'll Do:
  • Build next-generation AI capabilities with real-world enterprise impact.
  • Work on innovative computer vision and machine learning challenges.
  • Partner with talented engineering teams to move AI solutions from research to production.
  • Drive improvements in accuracy, performance, and scalability.

Benefits
For any questions (OR) to apply, please contact us at careers@apogeeglobalrms.com.