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Computer Science Grad Jobs (NOW HIRING)

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Machine Learning Engineer, Level 5

California, MO · On-site

$170 - $210/hr

... computer science or equivalent years of practical work experience * 5+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 4+ year of post-grad machine ...

Kyyba Inc

Quality Engineer

Waterloo, IA · On-site

$71K - $91K/yr

Degree in Technology, Engineering, Communications, Business, Computer Science, and/or Data Analytics. Open to recent grad candidates with manufacturing internships.

FlexAI

Software Engineer, New Grad

San Jose, CA · On-site

They are seeking a Software Engineer (New Grad) to join their engineering team, where the candidate ... S. in Computer Science, Software Engineering, or a related technical field • At least one ...

NAVWAR

$87K - $116K/yr

... Computer Science PhD - Varied S&E fields including Cyber S&T, Data Science, Machine learning ... Cumulative GPA of 3.0 or above preferred Grad Date: Must have graduated or be within 9 months of ...

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Computer Science Grad information

What is a computer science grad?

Computer Science grads are individuals who have completed a degree program in computer science, typically at the undergraduate or graduate level. They possess knowledge and skills in areas such as programming, algorithms, data structures, software engineering, and computer systems. These graduates are equipped to pursue careers in various tech fields including software development, data analysis, cybersecurity, and more. Their education often includes both theoretical foundations and practical experience with modern technologies.

What are some common entry-level positions for recent computer science grads, and how do they typically collaborate within a team?

Recent computer science graduates often start in roles such as software engineer, QA analyst, IT support specialist, or junior web developer. In these positions, you'll usually work as part of a project team alongside more experienced engineers, designers, and sometimes product managers. Collaboration is key—you'll participate in code reviews, daily stand-up meetings, and pair programming sessions to learn best practices and contribute to shared goals. This team-oriented environment not only helps build technical skills but also offers mentorship opportunities and exposure to different aspects of software development.

What are the key skills and qualifications needed to thrive as a computer science grad, and why are they important?

To thrive as a Computer Science Graduate, you need a solid understanding of programming languages, algorithms, data structures, and fundamental computer science concepts, typically gained through a bachelor's degree in computer science or a related field. Familiarity with development environments, version control systems like Git, and frameworks relevant to your specialization is often expected. Problem-solving, teamwork, and strong communication skills help you collaborate efficiently and adapt to evolving project requirements. These skills and qualities are crucial for building robust software solutions and succeeding in dynamic technology-driven workplaces.

What is the difference between Computer Science Grad vs Software Developer?

AspectComputer Science GradSoftware Developer
CredentialsDegree in Computer Science or related fieldOften requires a degree, but certifications and experience can suffice
Work EnvironmentAcademic settings, internships, entry-level rolesCorporate offices, tech companies, startups
Industry UsageEducational institutions, entry-level tech rolesProduct development, application building, coding tasks
Search & Comparison IntentEntry-level, educational background, career startPractical coding, project work, job opportunities

While a Computer Science Grad typically refers to someone with a degree in computer science, a Software Developer is a professional actively involved in coding and building software applications. Many Computer Science Grads pursue roles as Software Developers, but the latter emphasizes practical skills and work experience. Understanding this difference helps job seekers target the right roles and employers effectively.

More about Computer Science Grad jobs

What cities are hiring for Computer Science Grad jobs?

Cities with the most Computer Science Grad job openings:

What states have the most Computer Science Grad jobs?

States with the most job openings for Computer Science Grad jobs include:

What job categories do people searching Computer Science Grad jobs look for?

The top searched job categories for Computer Science Grad jobs are:

Computer Science Grad jobs near you
Infographic showing various Computer Science Grad job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution.

AI Research Scientist, New Grad - Agents & Reinforcement Learning

Snowflake

Bellevue, WA • On-site

$100 - $120/hr

Other

Re-posted 3 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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