Machine Learning Engineer, Vulcan

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