🔎 Company Introduction

Our mission is to unleash the true potential of creators by enabling them to focus more on creative activities and less on mundane repetitive tasks. By transforming the content creation process, we envision a future where a captivating story can swiftly be adapted into numerous content formats and languages.

🔎 Job Introduction

At Initial AI, our machine learning engineers play a crucial role in defining and solving various service requirements as machine learning problems. We actively contribute to content automatic creation projects using language modeling and computer vision technology, along with providing personalized recommendations, rankings, and classifications.

Responsibilities include:

• Development, testing, and application of Computer Vision-based ML models
• Developing, testing, and applying various ML models (recommendation, classification, ranking, and language models) for personalization
• Designing and creating training datasets for model training
• Selection/development of model performance evaluation indicators and performance monitoring through offline/online experiments
• Data extraction, analysis, feature engineering, modeling, and service reflection from log data
• Resolution of various service-related issues by defining them as AI/ML problems

🔎 Eligibility Requirements

We are looking for individuals who have:

• Majored in machine learning-related fields such as computer engineering and statistics
• More than 2 years of experience in data analysis and machine learning
• Proficiency in experimental design and analysis

🔎 Preferential Treatment

Preference will be given to candidates with:

• A master's degree or higher in the ML field or equivalent experience
• Modeling experience using large-scale data
• Experience in applying and operating the actual service of the model
• Expertise in processing unstructured data such as images and text, and developing deep learning models
• Development experience in image, recommendation, classification, and ranking models
• Model optimization experience
• Model training and deployment experience
• Experience using cloud services such as AWS
• Experience using ML-related libraries such as TensorFlow, PyTorch, etc.
• Experience using operational tools such as Docker and Airflow, and data-related libraries such as Spark

➡️ Hiring Process

Our selection process includes document screening, coding test, 1st interview, final interview, and employment. The typical hiring process takes 4-6 weeks, with the schedule subject to adjustment through communication with the candidate. Any changes or delays in the screening process will be promptly communicated.

In some cases, additional procedures may be involved.

👉 Probationary Period Information

All new hires undergo a three-month probationary period and receive 100% of their salary during this period.