Machine Learning Engineer, Vulcan

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