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Research Engineer Jobs in Edison, NJ (NOW HIRING)

Datalab

Research Engineer

New York, NY · On-site

$250K - $350K/yr

Role Overview We're looking for a Research Engineer to own problems end to end across our models, inference service, and product. You won't just train a model and hand it off. You'll take it from ...

Google

Senior Research Engineer

New York, NY · On-site

About the job Are you an experienced Research Engineer looking for your next role? The US base salary range for this full-time position is $174,000 - $252,000 15% bonus target equity benefits ...

Forus Inc

Research Engineer

New York, NY · On-site

$170K - $300K/yr

About the role As a Research Engineer on our team, you will work on real production use cases of LLMs and other ML techniques to solve business problems and create groundbreaking AI applications. The ...

Cogent Security

AI Research Engineer

Manhattan, NY · On-site

The AI Research Engineer will conduct original research in automated reasoning and AI-driven code analysis, while collaborating with engineering teams to translate research into practical ...

Normal Computing

AI Research Engineer

New York, NY · On-site

$200K - $400K/yr

Your Role in Our Mission We're hiring an AI Research Engineer to push the frontier of agentic LLMs and reinforcement learning for our agentic code generation tool. You'll design and run experiments ...

Inteplast Group, Ltd

RESEARCH ENGINEER I

Livingston, NJ · On-site

$57K - $67K/yr

Research Engineer I POSITION OBJECTIVE: Position Acts as a liaison between Intellectual Property lawyers and R&D and Technical at Inteplast. Objective is to develop and protect intellectual ...

Salesforce, Inc.

Applied Research Engineer

New York, NY · On-site

The Research Engineering team works directly alongside Research Scientists to bring models to life. This position is dedicated to a high-impact systems role, providing the best of both worlds: deep ...

Jump Trading

Research Engineer, Pre-Training

New York, NY · On-site

$300K - $350K/yr

Our team is a group of quantitative researchers, engineers, and ML experts leading foundation model research and trading at Jump. Our mission is to combine emerging techniques and original research ...

Salesforce, Inc.

Applied Research Engineer

New York, NY · On-site

The Research Engineering team works directly alongside Research Scientists to bring models to life. This position is dedicated to a high-impact systems role, providing the best of both worlds: deep ...

THOMSON REUTERS

Senior Research Engineer

New York, NY · Hybrid

$114K - $157K/yr

We are seeking a Senior Research Engineer who willbringexpertiseinAI and ML andisinterestedinbuilding data-driven capabilities that transform the way legal, accounting, and government professionals ...

Anysphere, Inc

Software Engineer, ML Research

New York, NY · On-site

$224K/yr

Research Engineer Cursor is building the future of coding. We train frontier coding agents and scale RL on real user data to make them increasingly effective. About the role We're looking for ...

Optiver

Machine Learning Research Engineer

New York, NY · On-site

$224K/yr

Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine ...

THOMSON REUTERS

Lead Research Engineer

New York, NY · On-site +1

$112K - $147K/yr

We are seeking a Lead Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that transform the way legal, accounting, and government ...

Maple AI, Inc

ML Research Engineer

New York, NY · On-site

$120K - $250K/yr

About the Role As an ML Research Engineer at Maple, you'll be a part of our core product team transforming cutting-edge research into production-ready voice agents, serving millions of interactions ...

Optiver

Machine Learning Research Engineer

New York, NY · On-site

$200K/yr

Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine ...

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Showing results 21-40

All JobsResearch Engineer JobsResearch Engineer Jobs in Edison, NJ

Research Engineer information

See Edison, NJ salary details

$38.3K

$109.8K

$147.5K

How much do research engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for research engineer in Edison, NJ is $109,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $107,700.00 per year, depending on experience, location, and employer.

What is a research engineer?

Research engineers are professionals who apply scientific and engineering principles to conduct research, develop new products, and improve existing technologies. They typically work in laboratories, research and development departments, or academic settings, collaborating with scientists and other engineers. Their work often involves designing experiments, analyzing data, and creating prototypes to solve technical problems or advance knowledge in their field.

Do I need a PhD to be a research engineer?

A PhD is not always required to become a research engineer, but it can be beneficial for roles involving advanced research, complex problem-solving, or specialized fields. Many research engineers hold a bachelor's or master's degree, along with relevant skills in programming, data analysis, and engineering tools. Industry experience and technical expertise are often equally important as formal education levels.

What is the difference between Research Engineer vs Data Scientist?

AspectResearch EngineerData Scientist
Required CredentialsTypically requires a master's or Ph.D. in engineering, computer science, or related fieldsUsually holds a master's or Ph.D. in statistics, computer science, or related areas
Work EnvironmentResearch labs, R&D departments, technology companiesData analysis teams, analytics departments, tech firms
Employer & Industry UsageUsed in engineering, manufacturing, aerospace, and tech industriesCommon in finance, healthcare, marketing, and tech sectors

Research Engineers focus on developing new technologies, prototypes, and engineering solutions, often working on hardware or system design. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and advanced degrees, their core functions and industry applications differ significantly.

What are the key skills and qualifications needed to thrive as a research engineer, and why are they important?

To thrive as a Research Engineer, a strong background in engineering principles, advanced mathematics, and scientific research—often supported by a relevant degree or postgraduate study—is essential. Familiarity with data analysis tools like MATLAB or Python, CAD software, and laboratory instrumentation is typically required, along with experience in technical report writing. Strong analytical thinking, creativity, and effective collaboration skills help Research Engineers excel in multidisciplinary teams. These competencies are vital for developing innovative solutions, advancing technology, and ensuring rigorous, impactful research outcomes.

How do research engineers typically collaborate with cross-functional teams during a project?

Research Engineers often work closely with scientists, data analysts, product managers, and software engineers to develop and implement innovative solutions. Collaboration usually involves regular meetings to align on project goals, sharing technical findings, and integrating research outcomes into product development. Effective communication and the ability to translate complex research concepts into actionable insights are key to ensuring the project progresses smoothly and meets its objectives.
More about Research Engineer jobs
What job categories do people searching Research Engineer jobs in Edison, NJ look for? The top searched job categories for Research Engineer jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Research Engineer jobs? Cities near Edison, NJ with the most Research Engineer job openings:
Research Engineer jobs near you
Infographic showing various Research Engineer job openings in Edison, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $109,750 per year, or $52.8 per hour.

Research Engineer

Datalab

New York, NY • On-site

$250K - $350K/yr

Full-time

Posted 27 days ago

Job description

Salary range - $250k - $350k | Equity - up to 0.5% | In-person NYC
About Datalab
Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right.
We're at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, Chandra, Surya, Marker, and Lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face.
Role Overview
We're looking for a Research Engineer to own problems end to end across our models, inference service, and product. You won't just train a model and hand it off. You'll take it from training through benchmarking, into our inference stack, and work with the team to integrate it into our products.
We're a small team that has shipped the current state of the art OCR model, Chandra. Our models collectively have 70k+ Github stars. Our tools are used internally at frontier AI labs like Anthropic, and Fortune 500 enterprises like Siemens.
Our team focuses on training small, efficient models that outperform much larger LLMs on domain-specific tasks (like OCR, structured extraction, tables). We move fast, prioritize practical results, and build tools that are open, reproducible, and built to last. You'll test hypotheses quickly, iterate on results, and balance experimental rigor with shipping to customers.
Day to day:
A typical project might look like: identify a gap in extraction quality on long documents, train and benchmark a new model, optimize it for inference, and work with the team to ship it to users. Concretely:
  • Train and evaluate models: Train task-specific models (OCR, layout, text recognition, extraction). Explore architectures and training strategies to optimize task performance. This includes our open source models, like Marker, Surya, and Chandra.
  • Optimize inference: Profile and accelerate model inference across different hardware setups (H100s, B200s, L40s, CPUs).
  • Ship to product: Work with the team to integrate models into our API and product, helping define how new capabilities surface for end users. You will be involved from model training through integration, although your work will be weighted much more towards the model side than the product side.
  • Create and maintain datasets: Source, design, and clean datasets for supervised and synthetic training; create reproducible pipelines for data versioning and evaluation.
  • Experiment and benchmark: Run ablations, track metrics, and publish findings that inform model design and internal research direction.
  • Engage with users and partners: Occasionally join calls or Slack threads to better understand customer needs and inform your work.

Ideal Candidate
You've shipped models that made it into production. You understand how to balance exploration with delivery, and how to turn research insights into products people actually use.
  • 3+ years experience training, fine-tuning, and evaluating deep learning models
  • Trained at least one production-grade model or system used in real-world applications
  • Deep expertise in PyTorch and Python, with strong fundamentals in deep learning (optimization, evaluation, architecture design)
  • Comfortable with data engineering, benchmarking, and performance profiling across hardware setups
  • Comfortable with an early stage startup - balance running ablations/benchmarks with shipping velocity

Bonus points if you:
  • Have experience with OCR, document AI, or structured extraction
  • Have published work, whether that's a paper, a benchmark report, or a deep technical blog post
  • Have been a major contributor to open-source projects, especially in ML, vision, or NLP
  • Enjoy writing about your work and sharing learnings with the community

Interview process
  • A 30-minute video call to evaluate fit
  • 90-minute live architecture discussion
  • Culture fit interview/team meeting

At this stage of the company, every interview is somewhat custom, so these phases may be rearranged slightly.
We can't wait to hear from you!
Apply here with your resume and references to past work to be considered.

Apply