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Computational Modeling Intern Jobs in California

pony.ai

Research Intern - Deep Learning

Fremont, CA

$7.0K - $10K/mo

Experience in convex optimization, computational geometry or linear algebra. * Experience in GPU/CUDA/TensorRT * Previous internships involving large-scale deep learning models and systems

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Experience in convex optimization, computational geometry or linear algebra. * Experience in GPU/CUDA/TensorRT * Previous internships involving large-scale deep learning models and systems

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Experience in convex optimization, computational geometry or linear algebra. * Experience in GPU/CUDA/TensorRT * Previous internships involving large-scale deep learning models and systems

Adobe

Staff Applied Scientist

San Jose, CA · On-site

... multimodal models, driving sustained improvements in generative AI quality and alignment ... and computational efficiency. • Since this is junior role, we need the role has strong ...

GenBio AI

Software Engineering Intern

Palo Alto, CA

$8.0K - $10K/mo

Work closely with AI/machine learning researchers and computational biologists to integrate GenBio AI's state-of-the-art foundation models into functional, user-facing web platforms. * Act as a ...

GenBio AI

Software Engineering Intern

Palo Alto, CA · On-site

$8.0K - $10K/mo

Work closely with AI/machine learning researchers and computational biologists to integrate GenBio AI's state-of-the-art foundation models into functional, user-facing web platforms. * Act as a ...

PlusAI

Software Engineer Intern - Data

Santa Clara, CA · On-site

$19 - $65/hr

Analyze and refactor existing image and video search indexing pipelines to maximize computational ... Cross-Domain Collaboration: Bridge the gap between machine learning models and backend ...

PlusAI

Software Engineer Intern - Data

Santa Clara, CA · On-site

$19 - $65/hr

Analyze and refactor existing image and video search indexing pipelines to maximize computational ... Cross-Domain Collaboration: Bridge the gap between machine learning models and backend ...

Adobe, Inc.

Staff Applied Scientist

San Jose, CA · On-site

$164K - $313K/yr

... multimodal models. By strengthening Adobe's competitive position in generative AI quality and ... and computational efficiency. • Since this is junior role, we need the role has strong ...

Adobe

Staff Applied Scientist

San Jose, CA

$164K - $313K/yr

Design and implement end-to-end training pipelines to build foundational model for both images and ... computational efficiency. Since this is junior role, we need the role has strong publications ...

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Computational Modeling Intern information

What are some common challenges faced by Computational Modeling Interns during their internship?

Computational Modeling Interns often encounter challenges such as adapting to complex simulation software and learning the specific coding standards used by their team. They may also need to balance multiple projects while ensuring the accuracy and reproducibility of their models. Collaboration with researchers and engineers is frequent, so strong communication skills are important to effectively interpret data and incorporate feedback. These challenges provide valuable learning opportunities and help interns develop a strong foundation for a future career in computational modeling.

What are the key skills and qualifications needed to thrive as a Computational Modeling Intern, and why are they important?

To thrive as a Computational Modeling Intern, you generally need a solid background in mathematics, physics, or engineering, along with proficiency in programming languages like Python or MATLAB. Familiarity with simulation software, data analysis tools, and version control systems such as Git is typically required. Strong analytical thinking, problem-solving abilities, and clear communication skills help interns excel when interpreting results and collaborating with research teams. These skills and qualities are essential for efficiently developing, testing, and refining computational models that drive innovation and research progress.

What does a Computational Modeling Intern do?

A Computational Modeling Intern assists in developing and running computer-based simulations to analyze scientific, engineering, or business problems. They work with specialized software and programming languages to build models that predict outcomes, test hypotheses, or optimize processes. Interns often collaborate with experienced researchers or engineers, interpret simulation results, and help document findings. This role provides valuable hands-on experience with computational tools and methodologies used in various industries.

What is the difference between Computational Modeling Intern vs Data Analyst Intern?

AspectComputational Modeling InternData Analyst Intern
Required CredentialsUndergraduate or graduate in STEM, programming skillsUndergraduate or graduate in related field, analytical skills
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, tech firms, research institutions
Employer & Industry UsageResearch projects, product development, simulationsData analysis, reporting, decision support

Computational Modeling Interns focus on developing and applying computational models and simulations, often requiring programming and mathematical skills. Data Analyst Interns primarily analyze datasets to extract insights, supporting business decisions. While both roles involve data handling, the Modeling Intern emphasizes simulation and algorithm development, whereas the Data Analyst Intern concentrates on data interpretation and reporting.

What are the most commonly searched types of Computational Modeling jobs in California? The most popular types of Computational Modeling jobs in California are:
What are popular job titles related to Computational Modeling Intern jobs in California? For Computational Modeling Intern jobs in California, the most frequently searched job titles are:
What job categories do people searching Computational Modeling Intern jobs in California look for? The top searched job categories for Computational Modeling Intern jobs in California are:
What cities in California are hiring for Computational Modeling Intern jobs? Cities in California with the most Computational Modeling Intern job openings:
Computational Modeling Intern jobs near you
Infographic showing various Computational Modeling Intern job openings in California as of July 2026, with employment types broken down into 2% Internship, 72% Full Time, 23% Part Time, 2% Temporary, and 1% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution.
Research Scientist Intern, Monetization Generative AI - LLM (PhD)

Research Scientist Intern, Monetization Generative AI - LLM (PhD)

Meta

Menlo Park, CA

Internship

Re-posted 4 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Monetization Generative AI - LLM (PhD) Responsibilities:
  • Perform research to advance the science and technology of intelligent machines
  • Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources
  • Analyze and improve efficiency, scalability, and stability of various deployed systems
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
  • Publish research results and contribute to research that can be applied to Meta product development

Minimum Qualifications:
  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
  • Experience with Python, C++, C, Java or other related language
  • Experience with deep learning frameworks such as Pytorch or Tensorflow
  • Experience building systems based on machine learning, deep learning methods, or natural language processing

Preferred Qualifications:
  • Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
  • Experience with Large Language Models, on top of the latest research of text only input and multimodal input to large language models
  • Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval, Visual Question & Answering
  • Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
  • Experience working and communicating cross functionally in a team environment
  • Experience with training deep neural networks for key NLP tasks
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
  • Intent to return to degree program after the completion of the internship/co-op

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,134/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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