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Internship Computer Science New Grad Jobs in Seattle, WA

Worky

Software Engineer, New Grad

Seattle, WA · On-site

A Bachelor's or Master's degree in computer science or a directly related field, obtained by summer ... Experience from either previous internships or working collaboratively on multi-person coding ...

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Internship Computer Science New Grad information

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$25

$47

How much do internship computer science new grad jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for internship computer science new grad in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.
Internship Computer Science New Grad jobs near you
Infographic showing various Internship Computer Science New Grad job openings in Seattle, WA as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $53,270 per year, or $25.6 per hour.

AI Research Scientist, New Grad - Agents & Reinforcement Learning

Bellevue, WA • On-site

Snowflake
See more jobs at Snowflakeexternal

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Re-posted 25 days ago

Job description

We are hiring an AI Research Scientist (New Grad) for our AI Research team. Our team is pushing the frontier of autonomous, self‑improving AI systems — building agents that reason, code, and learn at scale inside the Snowflake Data Cloud. This role sits at the intersection of agentic AI and reinforcement learning, where your research will directly shape how enterprises leverage intelligent automation.

AS AN AI RESEARCH SCIENTIST AT SNOWFLAKE, YOU WILL:
  • Design and develop agentic frameworks powered by recursive self‑improvement loops, enabling AI systems that iteratively refine their own capabilities and strategies
  • Build and evaluate autonomous research agents — systems capable of autonomously formulating hypotheses, executing experiments, and synthesizing findings
  • Develop coding agents that understand, generate, and debug code across complex, multi‑step programming tasks
  • Conduct research in reinforcement learning with a focus on RLHF, DPO, and PPO as mechanisms for aligning and improving agentic behaviors
  • Contribute to multi‑agent systems where specialized agents collaborate, negotiate, and self‑organize to solve enterprise‑scale problems
  • Develop and curate training data pipelines — both synthetic and human‑annotated — to support novel agentic and RL research domains
  • Publish research findings at top‑tier venues such as NeurIPS, ICML, ICLR, and ACL
OUR IDEAL AI RESEARCH SCIENTIST WILL HAVE:
  • PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field (completing or recently completed; or equivalent research experience)
  • Foundational expertise in reinforcement learning algorithms, including RLHF, DPO, PPO, or multi‑agent systems
  • Research experience in LLM post‑training, fine‑tuning, or reasoning model development
  • Demonstrated ability to implement and experiment with agentic architectures — including tool‑use, planning, and self‑correction loops
  • Proficiency in Python and at least one deep learning framework (PyTorch or JAX strongly preferred)
  • Strong mathematical and analytical foundation — comfortable working at the intersection of theory and empirical research
  • At least one first‑author or co‑authored publication or preprint in a relevant AI/ML area
BONUS POINTS FOR THE FOLLOWING:
  • Hands‑on experience building or evaluating coding agents or autonomous research agents
  • Familiarity with recursive self‑improvement frameworks or automated AI scientist paradigms
  • Experience with large‑scale distributed training or efficient training paradigms
  • Background in mathematical reasoning, structured decision‑making, or program synthesis
  • Exposure to domain‑specific AI applications in healthcare, finance, or enterprise workflows

Snowflake’s AI Research team operates at the frontier of what autonomous AI systems can do — not as a research lab disconnected from practice, but as a team where your work ships into a platform used by thousands of enterprises. You’ll be working alongside researchers and engineers building the next generation of agentic infrastructure, with access to large‑scale compute, real‑world data challenges, and the shortest possible path from research idea to product impact.

For a new grad role, this is a rare opportunity to grow your research career while contributing to systems that actually run in production — shaping how AI agents reason, learn, and improve themselves inside the world’s leading data cloud.

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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