Top 92 Applied scientist Jobs in New Jersey

Applied Research Scientist, LLM Evaluation & Post-Training
Innodata Inc. —Ridgefield Park, NJ
- $175,000 - $225,000 a year
- Remote
- Computer Science
- 5 years
- Analysis skills
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Principal Research Scientist - Autonomous Systems
Peraton —Basking Ridge, NJ
- $146,000 - $234,000 a year
- Computer science
- 7 years
- Computer Science
- Health savings account
- Paid holidays
Embodied AI Researcher (R&D Lab)
LG Electronics —Jersey City, NJ
- $150,000 - $210,000 a year
- Full-time
- Hybrid work
- Computer Science
- Doctor of Philosophy
- Children
- Paid parental leave
- Paid holidays
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Food Scientist- Entry Level
Jimmy's Gourmet Bakery —Clifton, NJ
- $68,000 - $75,000 a year
- Full-time
- Microsoft Word
- Spanish
- Bachelor of Science
- Dental insurance
- Paid time off
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QC Analytical Analyst, Raw Materials Testing
Lantheus Medical Imaging Inc —Springfield, NJ
- $72,000 - $107,000 a year
- Microsoft Word
- Mid-level
- Bachelor's degree
- Paid parental leave
- Paid holidays
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7d
Student Researcher, BS/MS, Fall 2026
Google —Princeton, NJ
- $98,000 - $131,000 a year
- Computer Science
- Bachelor of Science
- English
- Paid holidays
- Health insurance
4d
R&D Technician - Inorganic Materials
Queens Carbon —Cedar Grove, NJ
- $70,000 - $95,000 a year
- Full-time
- Engineering
- Computer skills
- 1 year
- Dental insurance
- 401(k)
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Food Scientist II
Jimmy's Gourmet Bakery —Clifton, NJ
- $75,000 - $80,000 a year
- Full-time
- Microsoft Word
- Spanish
- Computer literacy
- Dental insurance
- Paid time off
Quick Apply
Associate Manager / Manager, Project Services - Laboratories (Remote - East Coast)
IQVIA —Parsippany-Troy Hills, NJ
- $64,200 - $173,000 a year
- Full-time
- Remote
- Microsoft Excel
- Computer literacy
- Data analysis skills
- Work from home
12d
AI/ML Research Engineer, LLM Post-Training & Evaluation
Innodata Inc. —Ridgefield Park, NJ
- $80,000 - $175,000 a year
- Remote
- Computer science
- Computer Science
- Bachelor of Science
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Research Coordinator
Rutgers University —Newark, NJ
- $71,162 a year
- Full-time
- Mid-level
- Master's degree
- Analysis skills
- Paid holidays
- Dental insurance
Applied Scientist
Amazon.com —Newark, NJ
- $172,400 - $223,400 a year
- Full-time
- Computer Science
- Java
- Doctor of Philosophy
- AD&D insurance
- Health insurance
Associate Scientist
Artheon —East Brunswick, NJ
- $60,000 - $70,000 a year
- Full-time
- Hybrid work
- Microsoft Excel
- Microsoft Outlook
- Mid-level
- Health insurance
- Dental insurance
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Research Scientist – Applied Artificial Intelligence in Chemistry
Universal Display Corporation —Ewing, NJ
- $115,000 - $140,000 a year
- Computer Science
- Doctor of Philosophy
- Senior level
- Health savings account
- Employee stock purchase plan
Research Project Assistant
Rutgers University —Piscataway, NJ
- $52,602.48 a year
- Full-time
- Microsoft Excel
- Word processing
- Mid-level
- Paid holidays
- Dental insurance
Research Scientist, Physics x AI
Siemens —Princeton, NJ
- $126,307 - $216,526 a year
- Full-time
- Computer Science
- Office
- Master's degree
Director, Analytical Sciences and Laboratory Governance
Balchem Corporation —Montvale, NJ
- $180,000 - $220,000 a year
- Full-time
- Travel
- Senior level
- Leadership
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Research Scientist-Secret Clearance Required
Spectrum Software Technology —Egg Harbor Township, NJ
- 6 years
- Computer literacy
- Master's degree
- Paid holidays
- Relocation assistance
Quick Apply
Associate Research Scientist
Educational Testing Service (ETS) —Princeton, NJ
- Full-time
- Mid-level
- Doctor of Philosophy
- Psychology
- Paid time off
Quick Apply
Dairy Scientist
Symrise —Teterboro, NJ
- $96,091 - $130,000 a year
- Online Application
- Microsoft Office
- 3 years
- Master's degree
Quick Apply

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Applied Research Scientist, LLM Evaluation & Post-Training

Innodata Inc. -
Ridgefield Park, NJ

Quick Apply

Job Details

$175,000 - $225,000 a year

Qualifications

AI models
TensorFlow
Evaluation research
Engineering stress testing
Experimental data reports
Stress testing simulations
Customer communication
Quantitative applied research
Data visualization software proficiency
Content creation for technical audiences
Statistics
Computer Science
Applied Mathematics
PyTorch
Tooling
Technical documentation
5 years
Design of experiments
Generative models
Reliability analysis
AI platforms (beyond public GPTs)
Computational framework
Taxonomy
Research project design
Collaborative research
Doctoral degree in Computer Science
Quality performance measurement
Research project technical leadership
Analysis skills
Machine intelligence

Full Job Description

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Scope of the Role:

Innodata is expanding its GenAI research capability to advance state-of-the-art evaluation and post-training methods for LLM and multimodal systems. As an Applied Research Scientist, LLM Evaluation & Post-Training, you will lead research and experimentation on how evaluation design, measurement strategies, and feedback signals influence model improvement.

This role is ideal for a technically rigorous researcher who is deeply fluent in modern LLM evaluation and post-training, and who can turn research insight into practical methods for customer solutions and internal platform innovation. You will work across human-in-the-loop and AI-augmented workflows, partnering with Language Data Scientists and AI/ML Research Engineers to design and validate evaluation frameworks that drive measurable model gains.

The ideal candidate combines strong experimental and statistical judgment with hands-on technical ability and can engage as a peer with research and engineering stakeholders at leading AI companies.

What You'll Own:

As an Applied Research Scientist, LLM Evaluation & Post-Training, you will help define the next generation of evaluation-driven model improvement workflows. You will study how different evaluation approaches (human, automated, hybrid) shape model selection and post-training outcomes, and you will design experiments that produce credible, actionable conclusions.

Your work may include designing benchmark datasets, developing evaluation taxonomies and protocols, defining metrics and scoring methodologies, analyzing failure modes, and testing how changes in evaluation setup affect downstream fine-tuning results. You will also support customer engagements by bringing scientific rigor to evaluation strategy, methodology review, and technical recommendations.

This is a highly collaborative role that sits at the intersection of research, engineering, and language/data operations. Additional responsibilities include (but are not limited to):

Define and execute a research agenda focused on LLM evaluation and post-training, especially evaluation-driven model improvement
Design rigorous experiments to study how evaluation methodologies impact fine-tuning and post-training outcomes
Develop and validate evaluation frameworks for LLM and multimodal systems, including:
- benchmark/task design
- scoring methods
- judge/model-assisted evaluation
- human evaluation protocols
- robustness/stress testing
Lead research on advanced evaluation domains, including long-context, cross-modal, and dynamic multi-turn evaluations
Study the effectiveness and limitations of existing evaluation techniques, and propose improved methodologies with clear validity and scalability tradeoffs
Analyze model behavior and failure patterns; generate actionable recommendations for model improvement and evaluation redesign
Collaborate with AI/ML Research Engineers to translate research methods into scalable evaluation and post-training pipelines
Collaborate with Language Data Scientists to integrate human-in-the-loop and synthetic data/evaluation strategies into research programs
Engage with customer technical stakeholders to understand evaluation goals, review methodologies, and provide expert recommendations
Contribute to internal benchmark datasets, evaluation frameworks, and reusable research assets
Produce high-quality technical documentation, internal research reports, and client-facing materials explaining methods, results, assumptions, and limitations
Contribute to thought leadership and best practices in LLM evaluation, post-training, and GenAI quality measurement

You'll Thrive in This Role If You Have:

MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, AI, or a related quantitative scientific field (PhD strongly preferred)
5+ years of relevant experience in applied research / research science in ML/AI, with substantial work in LLMs or foundation models
Demonstrated experience with LLM evaluation, benchmarking, alignment, post-training, or model quality research
Strong foundation in experimental design, statistical analysis, and scientific reasoning for ML systems
Strong coding skills in Python for research experimentation and analysis (e.g., data processing, evaluation pipelines, statistical analysis, visualization)
Experience working with modern ML tooling/frameworks (e.g., PyTorch, Hugging Face, JAX/TensorFlow as applicable) sufficient to design and execute model/evaluation experiments
Ability to evaluate and compare human and automated evaluation methods, including tradeoffs in cost, reliability, validity, and scalability
Experience designing evaluation studies and protocols that are reproducible across datasets, model versions, and evaluation runs
Ability to collaborate directly with technical stakeholders including research scientists, ML engineers, data scientists, and customer technical counterparts
Strong communication skills and ability to present nuanced technical conclusions, assumptions, and limitations clearly

The expected salary range for this position is $175,000 – $225,000 USD per year, based on experience, skills, and qualifications.

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide at https://consumer.ftc.gov/articles/job-scams.

If you believe you've been targeted by a recruitment scam, please report it to Innodata at [email protected] and consider reporting it to the FTC at ReportFraud.ftc.gov.

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Refine Your Search

applied scientist jobs in new jersey

Applied Research Scientist, LLM Evaluation & Post-Training

Principal Research Scientist - Autonomous Systems

Embodied AI Researcher (R&D Lab)

Food Scientist- Entry Level

QC Analytical Analyst, Raw Materials Testing

Student Researcher, BS/MS, Fall 2026

R&D Technician - Inorganic Materials

Food Scientist II

Associate Manager / Manager, Project Services - Laboratories (Remote - East Coast)

AI/ML Research Engineer, LLM Post-Training & Evaluation

Research Coordinator

Applied Scientist

Associate Scientist

Research Scientist – Applied Artificial Intelligence in Chemistry

Research Project Assistant

Research Scientist, Physics x AI

Director, Analytical Sciences and Laboratory Governance

Research Scientist-Secret Clearance Required

Associate Research Scientist

Dairy Scientist

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