Cultivarium is looking for an AI Intern to help build, fine-tune, and evaluate vision language models (VLMs) in a scientific research environment to accelerate the adoption of novel microorganisms for biotechnology.
Requirements
- Relevant expertise in VLMs, machine vision, Vision Language Action (VLA) models, object recognition/detection, computer detection, large language models (LLMs), building custom agents, robotics.
- Experience with video dataset annotation via platforms such as Roboflow or V7.
- Experience with fine-tuning and evaluating VLMs such as Qwen, ViTPose++, YOLO, and DETR on performance metrics such as mAP50 and latency.
- Coding ability in Python.
- Graduated or pursuing a Master’s degree in computer science, data science, machine learning, or a related field.
- Track record of success on ML competition platforms such as Kaggle.
- Hands-on experience with experimental equipment and protocols in Biology at the undergraduate level.
Responsibilities
- architect, build, and annotate training datasets for an experimental research setting.
- Fine-tune VLMs and evaluate/compare model performance.
- Identify model limitations and opportunities for improvement.
- Write clean, maintainable, and testable code, following best practices.
- leverage your technical skills to develop machine vision applications that use Large Language Models (LLMs), VLMs, and/or Vision Language Action models (VLAs) to assist in the automated documentation of laboratory procedures and their translation into robotic actions.
- understanding basic experimental procedures, designing and labeling critical training datasets, fine-tuning and comparing models, and evaluating model performance.
Other
- Summarize and present your work to your supervisor and team members.
- Demonstrate a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others.
- Interest in Biology and an eagerness to develop subject matter expertise in laboratory equipment and techniques.
- Ability to thrive in a dynamic environment and adapt quickly to evolving needs.
- Skilled in creative problem-solving, with keen attention to detail and a collaborative approach.
