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Machine Learning Engineer, Vulcan

AIFT
Taipei1mo ago

About the role

<p><strong><span data-contrast="none">About the role</span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}">&nbsp;</span></p> <p>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.</p> <h4><strong>Why Join Us?</strong></h4> <ul> <li>Product Impact: Your work will be directly embedded in our core AI products, shaping user experience and product capabilities.</li> <li>Engineering Excellence: Be part of a team that values high-quality engineering, reproducibility, and scalability.</li> <li>Innovation: Opportunity to experiment with cutting-edge ML and GenAI technologies in production settings.</li> <li>Collaboration: Work alongside backend, platform, and product teams in a highly collaborative environment.</li> <li>Competitive Package: Receive attractive compensation and benefits aligned with your skills and performance.</li> </ul> <h4><strong>Key Responsibilities</strong></h4> <ul> <li>Model Development: Design and implement training processes for machine learning classifiers and generative models.</li> <li>Fine-tuning &amp; Prompting: Adapt pre-trained models to specific product needs through fine-tuning, prompt engineering, and parameter optimization.</li> <li>Hyperparameter Management: Configure and tune hyperparameters to balance accuracy, robustness, and performance.</li> <li>Pipeline Engineering: Build scalable training and evaluation pipelines to support continuous experimentation.</li> <li>Integration: Collaborate with backend and product engineers to deploy models into production systems.</li> <li>Monitoring &amp; Maintenance: Establish monitoring metrics and retraining strategies to maintain model performance in dynamic environments.</li> </ul> <p><strong><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559739&quot;:240,&quot;335559740&quot;:240}">Qualifications</span></strong></p> <ul> <li>Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.</li> <li>Proven experience in training classifiers and fine-tuning transformer-based models.</li> <li>Strong understanding of tokenization techniques, embedding models, and vector representations.</li> <li>Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.</li> <li>Familiarity with hyperparameter tuning and model configuration best practices.</li> <li>Experience working with large-scale datasets and building reproducible ML pipelines.</li> <li>Fluent in Mandarin; proficiency in English is an advantage.</li> </ul> <h4><strong>Desired Skills</strong></h4> <ul> <li>Knowledge of cloud platforms (AWS, Azure, GCP) and containerized deployment (Docker, Kubernetes).</li> <li>Experience with LLM prompting and fine-tuning is a plus.</li> <li>Basic understanding of data engineering practices (ETL, data validation, feature engineering).</li> <li>Exposure to AI safety, security, or bias mitigation techniques is an advantage.</li> </ul> <p>&nbsp;</p> <h3><strong><span data-contrast="auto">Other Benefits</span></strong><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:80,&quot;335559740&quot;:259}">&nbsp;</span></h3> <p><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:80,&quot;335559740&quot;:259}">To us, people are our greatest&nbsp;asset,&nbsp;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.&nbsp;</span></p> <p><strong><span data-contrast="auto">Work Life Balance is a must&nbsp;</span></strong><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="9" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">15 days annual leaves (pro-rata for partial month at first year)</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">5 days full-pay sick leaves,&nbsp;3 days menstrual leaves</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Health check subsidy</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Ergonomic-design chair and&nbsp;fully-equipped&nbsp;devices for work</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-aria-posinset="4" data-aria-level="1"><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:240,&quot;335559796&quot;:0,&quot;335559991&quot;:360}">Hybrid remote work and flexible working hour.</span></li> </ul> <p><strong><span data-contrast="auto">Grow together &amp; keep learning</span></strong></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="10" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Conferences &amp; external subsidy</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></li> <li data-leveltext="" data-font="Symbol" data-listid="10" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">Learning clubs to share technical skill (e.g: Frontend/Backend tech sharing, Blockchain...etc)</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="auto">Work Hard, Play even Harder</span></strong><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="11" data-aria-posinset="7" data-aria-level="1"><span data-contrast="auto">Various entertainment &amp; sports clubs,&nbsp;attend basketball clubs today, and play board game tomorrow!</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></li> <li data-leveltext="" data-font="Symbol" data-listid="11" data-aria-posinset="8" data-aria-level="1"><span data-contrast="auto">Snacks &amp; beverage&nbsp;to refill your&nbsp;energy anytime</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></li> </ul>

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