Job description
** About the role **
We are looking for a talented Machine Learning Engineer to join our Product Core Engineering team. You will be responsible for building and optimizing machine learning workflows that directly power our AI-driven products. This role focuses on the full lifecycle of model development — from training and fine-tuning to deployment and monitoring — ensuring robust and efficient ML systems at scale.
Why Join Us?
- Product Impact: Your work will be directly embedded in our core AI products, shaping user experience and product capabilities.
- Engineering Excellence: Be part of a team that values high-quality engineering, reproducibility, and scalability.
- Innovation: Opportunity to experiment with cutting-edge ML and GenAI technologies in production settings.
- Collaboration: Work alongside backend, platform, and product teams in a highly collaborative environment.
- Competitive Package: Receive attractive compensation and benefits aligned with your skills and performance.
Key Responsibilities
- Model Development: Design and implement training processes for machine learning classifiers and generative models.
- Fine-tuning & Prompting: Adapt pre-trained models to specific product needs through fine-tuning, prompt engineering, and parameter optimization.
- Hyperparameter Management: Configure and tune hyperparameters to balance accuracy, robustness, and performance.
- Pipeline Engineering: Build scalable training and evaluation pipelines to support continuous experimentation.
- Integration: Collaborate with backend and product engineers to deploy models into production systems.
- Monitoring & Maintenance: Establish monitoring metrics and retraining strategies to maintain model performance in dynamic environments.
** Qualifications **
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
- Proven experience in training classifiers and fine-tuning transformer-based models.
- Strong understanding of tokenization techniques, embedding models, and vector representations.
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
- Familiarity with hyperparameter tuning and model configuration best practices.
- Experience working with large-scale datasets and building reproducible ML pipelines.
- Fluent in Mandarin; proficiency in English is an advantage.
Desired Skills
- Knowledge of cloud platforms (AWS, Azure, GCP) and containerized deployment (Docker, Kubernetes).
- Experience with LLM prompting and fine-tuning is a plus.
- Basic understanding of data engineering practices (ETL, data validation, feature engineering).
- Exposure to AI safety, security, or bias mitigation techniques is an advantage.
** Other Benefits **
To us, people are our greatest asset, and we are more than happy to invest in employees! We create a healthy work atmosphere and provide you with the tools and support for doing your job successfully. With a culture of flexibility and transparency, we believe there should be no barriers, and everyone’s contributions matter.
** Work Life Balance is a must **
- 15 days annual leaves (pro-rata for partial month at first year)
- 5 days full-pay sick leaves, 3 days menstrual leaves
- Health check subsidy
- Ergonomic-design chair and fully-equipped devices for work
- Hybrid remote work and flexible working hour.
** Grow together & keep learning **
- Conferences & external subsidy
- Learning clubs to share technical skill (e.g: Frontend/Backend tech sharing, Blockchain...etc)
** Work Hard, Play even Harder **
- Various entertainment & sports clubs, attend basketball clubs today, and play board game tomorrow!
- Snacks & beverage to refill your energy anytime