KokoroLab is an AI company dedicated to advancing artificial intelligence in the anime and creative content domain.Our product is an AI platform for creators, combining advanced algorithms with intuitive tools to empower creative expression through technology. We are an open, pragmatic, and innovation-driven team striving to become a leading force in AI × Anime worldwide.

We are looking for Machine Learning Engineers with a strong algorithmic foundation and solid model training experience.

You will be responsible for designing, training, and optimizing core models that power the AI systems behind KokoroLab. This role is ideal for engineers who pursue technical excellence, enjoy solving complex ML problems, and want to bring cutting-edge research into real-world applications.

• Research, implement, and optimize machine learning and deep learning models;
• Design and execute training, fine-tuning, and evaluation workflows for large-scale models;
• Explore and improve upon Transformer, Diffusion, and Vision-Language architectures;
• Build efficient data processing and training pipelines to support continuous iteration;
• Track and experiment with state-of-the-art research and open-source frameworks;
• Collaborate with product and engineering teams to integrate models into production environments.

Job Requirements:

• Bachelor’s or higher degree in Computer Science, Artificial Intelligence, Mathematics, or related fields;
• Strong theoretical foundation in machine learning, deep learning, and probability/statistics;
• Proficient in Python and major ML frameworks (PyTorch / TensorFlow);
• Hands-on experience in training, fine-tuning, and optimizing models;
• Familiar with mainstream architectures (CNNs, Transformers, Diffusion models, etc.);
• Knowledge of model deployment and inference optimization (ONNX / TensorRT / distributed training);
• Strong engineering mindset, clean coding habits, and ability to work independently.

Preferred Qualifications:

• Experience with large-scale model training or multi-modal (vision-language) learning;
• Familiar with distributed or mixed-precision training, LoRA/SFT fine-tuning, or model compression/distillation;
• Knowledge of cloud-based training and deployment (Docker, Kubernetes, AWS, GCP);
• Prior experience contributing to open-source projects, AI competitions (e.g., Kaggle), or academic publications.

Benefits:

• Gain hands-on experience in a leading AI company at the forefront of technological advancements.
• Work closely with a diverse team of experts and professionals in the AI industry.
• Opportunity to showcase your skills and potentially secure a future career with the company.
• Official annual leaves and medical leaves given.
• Potential for performance-based incentives and awards, or opportunity to be converted into full time staff.

Duration and Application: This internship accepts anyone who can be with us for more than 3 months.

Some Testimonials from our former students:

Student Han from NUS: “The Internship at this company was an invaluable learning experience. I was immersed in an environment that prioritized learning, collaboration, and real-world application.” “The diverse projects I was assigned allowed me to refine my technical skills, from frontend development with frameworks like React and Next.js to backend integration using Node.js and Express. And database skills like MongoDB PostgresSQL & Prisma.”

Student Sor from NUS: “My internship at this company was a highly rewarding experience. I had the opportunity to work on impactful projects and collaborate with a talented team, which made it an invaluable learning experience”. “This internship contributed to my personal and professional growth. It has prepared me well for my future care