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Internship Ai Computer Science Jobs in Bellevue, WA

Cobot

AI Research Engineer

Seattle, WA · On-site

Master's degree in Machine Learning, AI, Computer Science, or a related technical field. * Minimum 3 years of experience in applied ML research and software engineering. * Hands-on experience ...

Microsoft

AI Software Engineering Intern - Edge

Redmond, WA · On-site

$7.2K - $12K/mo

At Microsoft, Interns work on real-world projects in collaboration with teams across the world ... Enrolled in a full time bachelor's or master's program in Computer Science, Engineering, or related ...

New

Adobe, Inc.

Research Scientist/Engineer

Seattle, WA · On-site

Ph.D. and solid publications in machine learning, AI, computer science, statistics, or scene ... internship with primary emphasis on AI research in image generation, low level vision, image ...

Adobe

Research Scientist/Engineer

Seattle, WA · On-site

Ph.D. and solid publications in machine learning, AI, computer science, statistics, or scene ... internship with primary emphasis on AI research in image generation, low level vision, image ...

Microsoft

AI Software Engineering Intern

Redmond, WA · On-site

$7.2K - $12K/mo

At Microsoft, Interns work on real-world projects in collaboration with teams across the world ... Enrolled in a full time bachelor's or master's program in Computer Science, Engineering, or related ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$219K/yr

... computer vision, egocentric perception, and/or Large Language Models * 5+ years of industry ... Demonstrated research and software engineering experience via an internship, work experience ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$154K/yr

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

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Internship Ai Computer Science information

What is an AI Computer Science internship?

An AI Computer Science internship is a temporary position for students or recent graduates to gain hands-on experience working with artificial intelligence technologies and computer science concepts. Interns typically work on real-world projects involving machine learning, data analysis, programming, and algorithm development. These internships help build practical skills, expand professional networks, and often serve as a stepping stone to full-time jobs in the tech industry.

What are the key skills and qualifications needed to thrive as an AI Computer Science intern?

To thrive as an AI Computer Science Intern, you need a solid understanding of programming languages (such as Python or Java), data structures, algorithms, and foundational AI concepts, typically supported by ongoing or completed studies in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems (such as Git), and data analysis tools is highly beneficial. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help interns stand out. These skills and qualities are crucial for contributing to complex AI projects, adapting to new technologies, and collaborating effectively within technical teams.

What types of projects can I expect to work on during an AI Computer Science internship?

As an AI Computer Science intern, you can expect to work on projects such as developing machine learning models, analyzing large datasets, assisting with algorithm optimization, or contributing to research on natural language processing or computer vision. Interns often collaborate with cross-functional teams including data scientists, software engineers, and product managers. The work environment is typically fast-paced and encourages learning, experimentation, and regular feedback. You'll have opportunities to present your findings, participate in code reviews, and attend team meetings, helping you build both technical and professional skills.

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Internship Ai Computer Science jobs near you
Infographic showing various Internship Ai Computer Science job openings in Bellevue, WA as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

AI Research Scientist -- Agentic AI for Materials Discovery

Meta

Redmond, WA

$184K/yr

Full-time

Re-posted 24 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

This role sits within Meta's Reality Labs Research, in the Material and Systems Innovation team, which develops advanced materials for two of Meta's most ambitious hardware frontiers: lightweight, all-day wearable AR glasses and next-generation sensing and actuating materials for robotics. The AI Specialist will design and build LLM-orchestrated multi-agent systems that autonomously drive materials discovery pipelines — from computational screening and simulation through synthesis and characterization — across both domains. By closing this loop with agentic AI, we aim to compress discovery timelines from years to weeks, directly accelerating Meta's ability to ship breakthrough AR/VR and robotics hardware. This position bridges two of Meta's highest-priority investment areas — frontier AI and the physical systems underpinning the metaverse and embodied intelligence — and will contribute both production systems and published research at top-tier venues.
AI Research Scientist — Agentic AI for Materials Discovery Responsibilities:
  • Design, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines
  • Build specialized AI sub-agents that operate within a closed-loop discovery framework
  • Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure
  • Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis
  • Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures
  • Evaluate and benchmark agent performance on materials discovery tasks — measuring accuracy, throughput, and synthetic viability of generated candidates
  • Contribute to open-source tooling and publish research at top-tier venues (NeurIPS, ICML, ICLR, or domain journals)

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in AI, Computer Science, Computational Chemistry, Materials Science, or related field
  • 2+ years of experience with large language models, prompt engineering, or agentic AI frameworks (e.g., React, tool-use agents, multi-agent orchestration)
  • Demonstrated programming skills in Python and experience with ML frameworks (PyTorch, JAX, or similar)
  • Demonstrated experience in building end-to-end AI systems that integrate external tools and APIs
  • Familiarity with at least one domain: computational chemistry, molecular simulation, or materials informatics

Preferred Qualifications:
  • Experience building multi-agent or LLM-orchestrated systems for scientific applications
  • Familiarity with atomistic simulation tools (VASP, Gaussian, LAMMPS, ASE) or cheminformatics libraries
  • Publications at peer-reviewed ML or domain conferences
  • Experience with retrieval-augmented generation, knowledge graphs, or scientific literature mining
  • Understanding of crystal structure prediction, molecular dynamics, or quantum chemistry workflows
  • Experience with HPC job orchestration

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.
$184,000/year to $257,000/year + bonus + equity + 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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