ML Research Intern

Company Description

Peach Blocks is a bootstrapped AI research startup focused on cutting-edge machine learning, computer vision, and robotics applications. Founded by IIT and NIT alumni with industry experience, we're building innovative solutions in LLM fine-tuning, edge deployment, and sensor fusion. Our team works on real-world AI problems with access to high-performance GPU infrastructure (RTX 5090, 4070, 3070) for training and fine-tuning models up to 8B parameters. We're committed to publishing research, contributing to open-source, and mentoring the next generation of AI researchers. As a self-funded startup, we prioritize investment in computational resources and research infrastructure to push the boundaries of AI innovation.

Role Description

This is a remote research internship (3-6 months) where you'll work directly with our founding team on cutting-edge AI projects across three tracks : ML Research (LLM Fine-Tuning for multilingual applications), Computer Vision (edge deployment on Jetson / mobile platforms), or Robotics & Sensor Fusion (multimodal systems for vision-language models). You'll participate in weekly assignments and review sessions, contribute to research, and gain hands-on experience with state-of-the-art tools like PyTorch, Transformers, ONNX, TensorRT, and ROS. This internship is designed for students seeking research experience and portfolio development, with opportunities for technical blog writing, open-source contributions, and potential full-time positions for top performers after graduation.

Qualifications

• Currently enrolled as an engineering student (2nd year preferred) in Computer Science, Electrical Engineering, Mechanical Engineering or Physics-related streams
• Strong foundational knowledge in matrices, partial differential equations (PDEs), and vectors at engineering level
• IIT JEE mathematics and physics scores (to gauge mathematical aptitude and basic foundation which is critical to be successful in the internship)
• Proficiency in Python programming
• Experience with PyTorch, TensorFlow, or similar ML frameworks (bonus skill)
• For CV role : Knowledge of OpenCV, ONNX, TensorRT, and model optimization (bonus skill)
• For Robotics role : Familiarity with C++ and ROS (bonus skill)
• For LLM role : Understanding of Transformers, Hugging Face, and fine-tuning techniques (LoRA / QLoRA) (bonus skill)
• Self-motivated with ability to work independently with guidance and mentorship
• Strong problem-solving skills, time management skills and eagerness to learn
• Ability to commit 3-6 months with flexible hours that accommodate college schedule

Skills Required

Tensorflow, Pytorch, ROS, Opencv, Transformers, Python