Top 18 Genai / machine learning ai / data scientist Jobs in Morristown, Nj

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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Data Scientist
JSR Tech Consulting —Newark, NJ
- $65 - $75 an hour
- Hybrid work
- Computer Science
- Office
- Master's degree
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11d
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
AI Solutions Delivery 3 (Remote)
IQVIA —Wayne, NJ
- $111,400 - $278,500 a year
- Full-time
- Remote
- 6 years
- Computer Science
- Bachelor of Science
- Work from home
Data Science Lead
JSR Tech Consulting —Newark, NJ
- $75 - $85 an hour
- Hybrid work
- Computer Science
- Writing skills
- Office
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11d
Applied AIML Data Scientist Lead - Vice President
JPMorganChase —Jersey City, NJ
- $171,000 - $260,000 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
- Health insurance
- Tuition reimbursement
Deployment Success Manager
Deloitte —Morristown, NJ
- $128,000 - $252,500 a year
- Full-time
- Up to 50% travel
- 3 years
- Bachelor's degree
Senior Data Scientist Engineer - SFL Scientific
Deloitte —Morristown, NJ
- $128,000 - $252,500 a year
- Full-time
- Azure
- Computer Science
- Office
Technical Solutions Architect, Evals & Fine-Tuning
Innodata Inc. —Ridgefield Park, NJ
- $140,000 - $160,000 a year
- Remote
- 7 years
- Computer Science
- Bachelor's degree
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Associate Director, US Market Engagement Data Science & Advanced Analytics
Merck —Rahway, NJ
- $156,900 - $247,000 a year
- Full-time
- Computer Science
- Marketing
- 5 years
- Paid holidays
- Health insurance
Sr Worldwide Specialist Solutions Architect, GenAI - Amazon Bedrock GTM, Bedrock GTM
Amazon Web Services, Inc. —Jersey City, NJ
- $153,600 - $207,800 a year
- Full-time
- 3 years
- AWS
- Mentoring
- AD&D insurance
- Health insurance
3d
Gen AI Architect
Persistent —Bridgewater, NJ
- Full-time
- Hybrid work
- Azure
- Software troubleshooting
- System design
- Health insurance
- Flexible schedule
Senior AI Engineer - SFL Scientific
Deloitte —Morristown, NJ
- $128,000 - $252,500 a year
- Full-time
- Computer science
- Azure
- Computer Science
Senior Data Engineer
Tiger Analytics Inc. —Jersey City, NJ
- Full-time
- Hybrid work
- 8 years
- SQL
- APIs
Quick Apply
AI Senior Manager - SFL Scientific
Deloitte —Morristown, NJ
- $189,200 - $372,900 a year
- Full-time
- Computer Science
- System design
- Office
Supply Chain and Operations, Sourcing & Procurement Consulting Manager – Utilities
Accenture —Morristown, NJ
- $87,400 - $293,800 a year
- Full-time
- Oracle
- US work authorization
- Military encouraged
- Paid holidays
- Disability insurance
Supply Chain and Operations, Sourcing & Procurement Consulting Senior Manager – Utilities
Accenture —Morristown, NJ
- $122,700 - $338,300 a year
- Full-time
- Oracle
- 5 years
- US work authorization
- Paid holidays
- Disability insurance

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genai / machine learning ai / data scientist jobs near morristown, nj

Applied Research Scientist, LLM Evaluation & Post-Training

Innodata Inc. -
Ridgefield Park, NJ

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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

genai / machine learning ai / data scientist jobs in morristown, nj

Applied Research Scientist, LLM Evaluation & Post-Training

Data Scientist

Applied Scientist

AI Solutions Delivery 3 (Remote)

Data Science Lead

Applied AIML Data Scientist Lead - Vice President

Deployment Success Manager

Senior Data Scientist Engineer - SFL Scientific

Technical Solutions Architect, Evals & Fine-Tuning

Associate Director, US Market Engagement Data Science & Advanced Analytics

Sr Worldwide Specialist Solutions Architect, GenAI - Amazon Bedrock GTM, Bedrock GTM

Gen AI Architect

Senior AI Engineer - SFL Scientific

Senior Data Engineer

AI Senior Manager - SFL Scientific

Supply Chain and Operations, Sourcing & Procurement Consulting Manager – Utilities

Supply Chain and Operations, Sourcing & Procurement Consulting Senior Manager – Utilities

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