ML Compiler Intern (AI2425)
San Jose, California, United States
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Full Time Internship Entry-level / Junior USD 106K - 114K
SiMa.ai
Introducing the first Machine Learning SoC (MLSoC™) platform, purpose-built to let you effortlessly scale and deploy ML at the embedded edge. Effortless ML, artificial intelligence, MLSoC, Palette software, Edgematic.
Job Title: ML Compiler Intern Job Location: San Jose, CA Job ID: AI2425 Internship Term: Aug 2025 through Dec 2025 Internship Stipend: The hourly pay rate range for this position is for MS: $44 - $46 and for PhD: $53 - $57. ONSITE: This role requires the Intern to work from our San Jose, California office during the duration of the Internship. Roles and Responsibilities: As a member of the MLA Software team, you will have the opportunity to make significant contributions to SiMa.ai’s state-of-the-art Machine Learning Accelerator (MLA) compiler. This compiler framework supports hundreds of Convolutional Neural Networks (CNNs), as well as a wide variety of Large Language Models (LLMs) and Large Multimodal Models (LMMs). Projects that you may work on include, but are not limited to, the following:
- Implement compiler support for new CNNs, LLMs, and LMMs.
- Implement algorithms within the compiler framework that improve accuracy and run-time performance for a wide variety of ML models.
- Identify and implement optimizations to speed up compilation time.
- Candidates are expected to have recently graduated, or nearing graduation, with an M.S. or Ph.D. in Computer Science or a related field.
- Strong programming skills in Python, C, or C++.
- Strong background in algorithms and data structures.
- Familiarity with PyTorch and ONNX deep learning frameworks.
- Solid understanding of machine learning algorithms (e.g., matrix multiplication and convolution).
- Solid understanding of Generative AI, including LLM architecture.
- Solid understanding of processor architecture.
- Can-do attitude.
- Curious, creative, and good at solving problems.
- Execution and results oriented.
- Self-driven.
- Good communication skills.
Job stats:
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Categories:
Deep Learning Jobs
Machine Learning Jobs
Tags: Architecture Classification Computer Science Deep Learning Generative AI LLMs Machine Learning ML models ONNX PhD Python PyTorch
Region:
North America
Country:
United States
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