AI/ML Engineering Intern - Creative Technology

As an AI/ML Engineering Intern at YMT, you will engage in a variety of responsibilities including refining pre-trained multimodal AI models to meet specific business goals, training these models with company datasets, and developing API integrations with various AI model providers. You'll also create intuitive web interfaces, optimize model outputs for specific campaigns, and document technical processes. This role is very hands-on, providing you with the opportunity to learn and grow in a collaborative team environment.

To qualify for the AI/ML Engineering Intern role at YMT, candidates should be pursuing a Bachelor’s or Master’s degree in Computer Science, AI/ML, or related fields. Strong Python programming skills, an understanding of machine learning concepts, and experience training models such as LLAMA or Stable Diffusion are essential. Familiarity with deep learning frameworks like PyTorch or TensorFlow, web development skills (HTML, CSS, JavaScript), and basic knowledge of RESTful APIs are also necessary.

As an AI/ML Engineering Intern at YMT, crucial programming skills include proficiency in Python, which is fundamental for building and training AI models. Additionally, understanding web development languages like HTML, CSS, and JavaScript will be beneficial for creating web interfaces. Familiarity with version control tools such as Git, as well as basic knowledge of deep learning frameworks like PyTorch or TensorFlow, will also support your success in this role.

The AI/ML Engineering Intern at YMT will have the opportunity to work on various innovative projects aimed at enhancing digital advertising through artificial intelligence. This includes adapting and training AI models to improve user engagement, integrating different generative AI models for unique advertising applications, and developing API connections to streamline AI model interactions. The experience gained will be invaluable for your future career in the tech sector.

YMT provides its AI/ML Engineering Interns with a competitive salary, flexible work arrangements, and a collaborative culture that fosters professional development. Interns can expect a generous leave policy, a monthly stipend of IDR 5 million (negotiable based on experience), and the chance to work in an inclusive environment where your contributions are valued and recognized.

In answering this question, detail specific projects where you trained or optimized machine learning models. Highlight any experience with models like LLAMA or GPT, discussing the techniques you used, such as parameter tuning and prompt engineering, and the outcomes of your efforts.

Focus on a particular project, outlining the goals, your specific role, and the steps you took to adapt the model to meet those goals. Mention any challenges you faced and how you overcame them, emphasizing your problem-solving skills and technical knowledge.

Discuss your approach to validating the model's performance, such as using specific datasets for training and testing. Mention any techniques you've employed, like cross-validation or performance benchmarking, to ensure that the outputs align with campaign requirements.

Emphasize your comfort level with Python since it's essential for this role. Discuss any other relevant programming languages, such as HTML, CSS, or JavaScript, and how you've applied them in projects related to AI or web development.

Talk about your familiarity with deployment frameworks and any particular tools you’ve used, like AWS or GCP. Explain your understanding of CI/CD pipelines and how they can be utilized to streamline model deployment processes.

Share your proficiency in using Git for version control. Explain how you’ve used it in previous projects to manage collaborative codebases, track changes, and resolve conflicts, emphasizing its importance in a team setting.

Talk about your enthusiasm for continuous learning in AI. Describe specific resources you utilize, like online courses, workshops, or project-based learning, and how you apply new technologies or frameworks in practical scenarios.

Provide a thoughtful perspective on AI's impact on digital advertising, touching on aspects like personalization, efficiency, and targeting. Discuss potential advancements you foresee and how you believe AI can drive innovation in the industry.

Share an example where you collaborated with a team on a technical project, explaining your role, how you communicated, and how teamwork contributed to the project’s success. Highlight any challenges faced and solutions developed together.

Express your genuine interest in YMT’s innovative approach to AI in digital advertising. Mention how the company’s values align with your career goals and how you hope to contribute to its mission while gaining invaluable experience.