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Open nowPosted yesterday

Research Engineer/Scientist - R&D Internship – 2027 SVL

IBM2,375 open roles

Where
San Jose, US
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Your applicationOpen nowResearch Engineer/Scientist - R&D Internship – 2027 SVLIBM · San Jose, US

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The clock on this job

Early applications get read.

8.4% of postings close within 7 days. Measured by our own scanner across the market. IBM postings stay open a median of 7 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 8.4%7 days
  4. 15.4%14 days
  5. 34.3%30 days
This job: posted yesterday

IBM median: 7 days open

The posting

Join the pioneering Software Innovation Lab team at IBM Software and contribute to shaping the future foundations of artificial intelligence. Our group of scientists and engineers are dedicated to conducting end-to-end research that delivers real-world AI impact through a rigorous, responsible, and open innovation framework. We are the R&D team that is the innovation engine of IBM Software. We are shaping the technologies that IBM customers rely on – today and in the future. As an intern, you will explore cutting-edge research areas including data management and processing, building systems where AI plans, use external APIs, execute multi-step tasks independently, develop enterprise agents with rigorous evaluation gates and compliance guardrails, identify new algorithms for training, and fine-tune LLMs – all within a collaborative environment that bridges fundamental science and transformative engineering.

As an AI Research Scientist Intern, you will engage in the full research lifecycle to pioneer new advancements in streaming and batch data processing & management and artificial intelligence. Your role will involve identifying core challenges, designing novel prototype solutions, and validating them through rigorous experimentation. You will conduct foundational research in critical areas such as agentic systems and databases, novel training algorithms, efficient fine-tuning, agentic architectures and their application to the data domain. Collaborating in small, mentored teams, you will be responsible for shepherding projects from ideation to completion. A key objective is to disseminate significant results through publications in leading conferences and patent applications, contributing to both the academic community and IBM software products/ initiatives.

Program Dates: Internship start dates vary based on your academic calendar. • Semester System: May 24, 2027 – August 13, 2027 • Quarter System: June 14, 2027 – September 3, 2027 Candidates must be available to participate for the full duration of the internship corresponding to their academic schedule.

Location Flexibility: By applying to this requisition, you acknowledge and agree to be considered for any of the listed locations associated with this position and are willing to work at the location where you are ultimately assigned.

· Research Experience with Modern ML: Hands-on experience with agentic AI and a deep theoretical understanding of Large Language Models (LLMs), Task Specific Small Language Models and Transformer-based architectures. Understanding of technologies such as Kafka, Flink, PostgreSQL, Lakehouse and SQL

· Strong Programming & Prototyping Skills: Proficiency in Python for rapid prototyping, experimental setup, and implementing large-scale machine learning systems.

· Rigorous Analytical & Problem-Solving Abilities: Demonstrated strength in quantitative analysis, designing experiments, and deconstructing complex research problems.

· Proven Research & Communication Skills: A track record of innovation (evidenced by peer-reviewed publications or strong preprints) and the ability to clearly articulate complex technical concepts in both writing and presentations.

· Collaborative Research Mindset: A team-oriented approach with a commitment to rigorous, reproducible, and well-documented research practices.

· Research Excellence: Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, VLDB, SIGMOD etc).

· Technical Proficiency: Advanced expertise in ML frameworks (PyTorch) and full-cycle development of algorithms and systems.

· Specialized Skills: Hands-on experience with generative AI (LLMs) and agentic systems, from training to testing.

· Communication: Demonstrated ability to present complex research and build high-impact technical demonstrations.

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