IBM · 1 day ago
AI/ML Engineering internship: SVL
San Jose, CA
Internship
Onsite
Intern
1+ years expIBM is seeking an AI/ML Engineer intern specializing in machine learning and Large Language Models (LLMs) to join their AI/ML Center of Excellence team at the IBM Silicon Valley Lab. In this role, you will collaborate with cross-functional product teams to implement AI/ML capabilities, focusing on data collection for LLM training and integration of LLM technologies into products.
Business DevelopmentBusiness Information SystemsCRMData ManagementFoundational AISoftware
Responsibilities
Design and implement robust data collection pipelines for diverse LLM training datasets leveraging the IBM AI Model & Data Catalog
Develop data quality assessment frameworks to ensure training data meets IBM's high standards
Create annotation guidelines and workflows for specialized domain-specific datasets
Implement data governance protocols that ensure compliance with privacy regulations and ethical AI principles following the IBM Data & Model Governance process and tooling
Establish evaluation datasets and benchmarks to measure LLM performance across various use cases leveraging FM-Eval and Unitxt
Architect solutions to integrate LLMs with IBM's existing and emerging products and ecosystem
Develop APIs and interfaces that enable seamless interaction between LLMs and other software components
Optimize LLM deployment for various computing environments (cloud, edge, on-premises)
Implement techniques for model compression, quantization, and optimization to improve inference efficiency and minimize resource requirements
Design and implement prompt engineering frameworks for consistent LLM behavior across products
Establish technical standards and best practices for AI/ML feature implementation
Create reusable components and design patterns for common LLM use cases
Develop monitoring systems to track model performance, drift, and potential biases
Research and implement techniques for responsible AI, including explainability and fairness
Collaborate with product teams to identify opportunities for AI-driven innovation
Qualification
Required
Pending Bachelor's or master's degree or higher in Computer Science, Machine Learning, AI, or related technical field
Less than one year of experience in machine learning engineering or data science roles
Demonstrated knowledge of NLP and large language models (e.g., transformer architectures) including model evaluation and algorithm design
Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, or JAX)
Experience with data processing pipelines and working with large datasets
Knowledge of MLOps practices and tools for model deployment and monitoring
Ability to work independently and collaborate effectively across diverse teams
Strong communication skills to explain complex AI concepts to diverse audiences
Problem-solving mindset with ability to navigate technical and business constraints
Preferred
Bachelor's Degree
Company
IBM
IBM is an IT technology and consulting firm providing computer hardware, software, infrastructure, and hosting services.
10001+ employees
H1B Sponsorship
IBM has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (3032)
2024 (3301)
2023 (2160)
2022 (1809)
2021 (1157)
2020 (2669)
Funding
Current Stage
Public CompanyTotal Funding
unknown2011-01-14IPO
Leadership Team
Alain Bénichou
Chief Executive Officer, IBM Greater China Group
Alex Yang
CTO and Chief Architect
Recent News
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2026-01-09
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