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Internship Color Science Jobs in New York (NOW HIRING)

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... Demonstrated software engineering experience via internship, work experience, or widely used ...

BLP Intern - Risk

Stamford, CT · On-site

$16 - $21.25/hr

Business Leadership Program Internship Overview: Synchrony's Business Leadership Program Summer ... Pursuing a Bachelor's degree in Risk Management (preferred), Actuarial Science, Analytics ...

Showing results 41-60

Internship Color Science information

What types of projects and responsibilities can I expect during an internship in color science?

As a Color Science intern, you can expect to work on projects involving color measurement, calibration, and analysis for various products such as displays, printers, or textiles. Your daily tasks may include collecting and analyzing color data, assisting in experiments to improve color accuracy, and collaborating with engineers or designers to solve real-world color challenges. Interns often work closely with experienced color scientists and may contribute to research, documentation, or development of new color technologies. This role offers hands-on experience with industry-standard instruments and software, providing valuable insights into both the technical and collaborative aspects of color science.

What is the difference between Internship Color Science vs Color Analyst?

AspectInternship Color ScienceColor Analyst
Required CredentialsTypically pursuing or recent graduate in color science, chemistry, or related fieldOften requires degree in color science, chemistry, or related discipline; certifications may enhance prospects
Work EnvironmentInternship setting, often in labs or R&D departmentsProfessional environment, including labs, manufacturing, or quality control
Employer & Industry UsageUsed by companies in textiles, cosmetics, printing, and manufacturing for training and entry-level rolesEmployed in industries like textiles, printing, and manufacturing for color quality analysis

Internship Color Science provides hands-on experience for students or recent graduates, focusing on learning and skill development. In contrast, a Color Analyst is a professional role requiring more experience and responsibility in analyzing and ensuring color quality. Both roles are integral in industries where color accuracy is critical, but internships serve as a stepping stone toward becoming a full-fledged color analyst.

What is an internship in color science?

An Internship in Color Science is a temporary position, often for students or recent graduates, where individuals gain hands-on experience working with color measurement, perception, and technology. Interns may assist in research, laboratory experiments, data analysis, or product development related to color in fields like imaging, printing, textiles, and digital media. This role helps build foundational skills and industry knowledge, providing valuable exposure to real-world color science applications and potential career paths.

What are the key skills and qualifications needed to thrive as an internship in color science, and why are they important?

To thrive as an intern in Color Science, you generally need a background in physics, chemistry, or engineering with knowledge of color theory and colorimetry. Familiarity with color measurement instruments, image processing software, and programming languages such as MATLAB or Python is often required. Strong analytical thinking, communication skills, and attention to detail help interns excel in collaborative, research-driven environments. These skills ensure accurate data analysis and effective teamwork, both critical for advancing color science projects.

What are popular job titles related to Internship Color Science jobs in New York?

For Internship Color Science jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Internship Color Science jobs?

Cities in New York with the most Internship Color Science job openings:

Infographic showing various Internship Color Science job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Scientist, Synthetic Data Generation

Nvidia

New York, NY

Full-time

Re-posted 4 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

NVIDIA is at the forefront of the AI revolution, and our research is shaping the future of large language models. We are looking for a Senior Scientist to join our team and help advance our capabilities in synthetic data generation for training frontier models. You will contribute to open-source libraries within the NVIDIA NeMo ecosystem that generate synthetic datasets across text, code, structured, and multimodal data, directly feeding the pre- and post-training of LLMs such as Nemotron. This role combines hands-on software engineering with applied research in generative methods, and you will collaborate with research, engineering, product, and model teams as well as external labs.

What you'll be doing:

  • Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation, producing datasets that improve the pre- and post-training of LLMs such as Nemotron - reasoning, coding, structured output, and multimodal understanding.

  • Advance multimodal synthetic data generation - image, document, video, and audio - in partnership with NVIDIA's model teams.

  • Design and maintain open-source libraries and SDKs with clean APIs and strong documentation.

  • Drive software excellence with modern tooling, architecture based on configuration, and professional Git/CI-CD.

  • Publish original research at top machine learning and AI conferences to maintain NVIDIA's technical leadership.

  • Mentor interns and junior researchers to develop technical growth within the team.

What we need to see:

  • PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience.

  • A research background of 3+ years in synthetic data generation, generative modeling, multimodal machine learning, or related areas. Comparable experience is also considered.

  • Deep technical understanding of LLMs, how data shapes their pre- and post-training, and inference frameworks such as vLLM or TGI.

  • Proven track record of developing or maintaining software libraries used by a broad developer community.

  • Strong publication record at premier venues such as NeurIPS, ICML, ICLR, ACL or similar.

Ways to stand out from the crowd:

  • Open-source contributions in ML or data tooling.

  • Experience with multimodal generation or understanding (vision-language, document AI, video, or audio).

  • Building and optimizing scalable data pipelines for large-scale model training (throughput, distributed inference).

  • Experience generating data for agentic, tool-use, or reinforcement-learning post-training.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working with us. If you are creative, autonomous, and passionate about building open-source tools that make AI safer and more private, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 3, and 192,000 USD - 304,750 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993