About the role 

We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. 

In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team). 

Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers. 

• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers. 

• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.). 

• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control. 

• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM. 

• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA). 

• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection). 

• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications. 

• Vector Database: Experience with Vector DBs for RAG applications. 

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 

We are supporting an APAC-focused technology company building a non-custodial, protocol-level payment infrastructure that enables seamless on-chain settlement for API-based services. The project sits at the intersection of Web3 payments, cryptographic verification, and high-reliability backend systems, with a strong emphasis on security, low latency, and production-grade operations.

This is a greenfield build where senior engineers will help define architecture, security models, and operational standards from day one.

As a Senior Software Engineer, you will take ownership of core backend services that verify cryptographically signed payment requests and coordinate on-chain settlement across multiple blockchain networks. You will work closely with security, compliance, and product stakeholders, and play a key role in shaping system design, reliability practices, and developer experience.

Responsibilities

• Design and implement high-performance backend APIs for payment verification and settlement
• Build cryptographic verification logic (signature validation, replay protection, idempotency)
• Integrate with blockchain RPC providers and design confirmation, retry, and failover strategies
• Architect secure key-management solutions (KMS/HSM), audit logging, and least-privilege access
• Develop chain adapters for EVM and non-EVM networks, starting with stablecoin transfers
• Own production readiness: SLOs, monitoring, alerting, and incident response workflows
• Write technical documentation, threat models, and operational runbooks
• Mentor junior engineers and contribute to engineering standards and best practices

Qualifications

• 5–8+ years of backend engineering experience, ideally in TypeScript/Node and/or Rust
• Strong understanding of cryptographic signatures, structured payloads, and API security
• Hands-on experience with EVM transaction lifecycle (nonce, gas, finality) and/or Solana
• Proven track record building production-grade distributed systems
• Experience with CI/CD, containerised deployments, and observability tooling
• Excellent written communication skills (design docs, threat models, runbooks)

Strongly Preferred

• Experience with payment or settlement systems (idempotency, retries, reconciliation)
• Familiarity with stablecoin transfer patterns (e.g. USDC on EVM chains)
• Background in non-custodial architectures or security-sensitive systems
• Exposure to protocol-level payment flows, API monetisation, or metered billing

We are hiring for one of our clients. They are a Web3-focused insurance and risk management company, backed by a regulated insurance group, providing tailored coverage solutions for blockchain, crypto, and digital asset businesses. We work with fast-growing technology companies globally to help them manage risk and scale securely in a highly dynamic market.

They are looking for a BD Associate, you’ll be a key driver in expanding their market presence. You will support lead generation, engage potential clients, nurture prospects through the sales cycle, and help close deals. This is an excellent opportunity for a highly motivated early-career professional who is passionate about Web3, insurtech, and B2B sales.

Key Responsibilities

• Generate new business leads through research, networking, and targeted outreach
• Identify and qualify prospects across Web3, crypto exchanges, wallet providers, custodians, and related tech firms
• Support the full sales cycle — from initial contact, needs discovery, solution pitching, to closing
• Coordinate and run sales presentations and product demos with senior team members
• Draft proposals, follow-up emails, and sales materials tailored to client needs
• Monitor industry trends in blockchain, digital assets, risk, and insurance
• Provide regular feedback to product and marketing teams on market opportunities and customer needs
• Work with underwriting, operations, and technical teams to ensure sales commitments align with product deliverables
• Support marketing and events initiatives (e.g., webinars, partnerships, conferences)

Qualifications

• Skills & Qualifications
• 1–3 years experience in sales, business development, or client-facing roles (B2B preferred)
• Strong motivation to work in Web3 spaces. Understanding of blockchain / crypto technologies and digital asset custody
• Excellent communication skills — able to confidently engage C-level and technical stakeholders
• Goal-oriented with a strong desire to contribute to revenue growth
• Entrepreneurial mindset and high adaptability in a fast-paced startup environment
• A self-starter who thrives under minimal supervision
• Team player with a proactive attitude
• Strong problem-solving and organisational skills

公司福利

好好工作，好好休息 (正職員工適用)

• 加入第一天即享有年假，首年 15 天年假（依照入職比例發）
• 每年全薪病假 5 天、全薪生理假 3 天

一起成長，持續精進 

• 參加 conference、外部訓練都有補助 (正職員工適用)
• 證照補助 (正職員工適用)
• 前、後端技術分享社團、產品與管理職能讀書會

努力工作，我們也用力生活 

• 健康檢查補助 (正職員工適用)
• 社團補助 - 各種運動社團、桌遊社、電玩社、這週要幹嘛社
• 定期補充的零食以及飲料櫃、義式咖啡機、氣泡水機
• 舒適的開放式工作環境，距離捷運台北101站 5分鐘路程

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 

Job Overview

We are looking for a Junior Web3 Research Analyst to support our team in assessing cybersecurity risks and providing consulting services for centralized wallet solutions and related technologies. In this role, you will analyze security vulnerabilities, assist in developing risk mitigation strategies, and contribute to client-focused research on Web3 and cybersecurity trends. This is an excellent opportunity to grow your expertise in Web3 security while working with a dynamic team of professionals. 

Location  

Taipei, Taiwan

Responsibilities 

• Conduct research and analysis on security risks related to centralized wallets, custody solutions, and other Web3 technologies. 
• Assist in performing security assessments and identifying vulnerabilities in Web3 infrastructure. 
• Support wallet security and cybersecurity consulting projects by providing technical insights and recommendations for clients. 
• Help create clear and concise reports, presentations, and whitepapers on cybersecurity and wallet security topics. 
• Stay updated on emerging Web3 security trends, best practices, and threat landscapes. 
• Collaborate with internal teams and external partners to deliver high-quality consulting services. 

Requirements 

• Bachelor’s degree in computer science, cybersecurity, or a related field (or equivalent practical experience). 
• Basic understanding of Web3 technologies, including centralized wallets, blockchain fundamentals, and cryptocurrency ecosystems. 
• Strong analytical and problem-solving skills with an ability to learn quickly. 
• Excellent written and verbal communication skills, with a focus on delivering clear and actionable insights. 
• Team player with a collaborative mindset and attention to detail. 

Plus 

• 1-2 years of experience in cybersecurity, IT security, or a related field (internship experience is also considered). 
• Passion for Web3 technologies and a proactive attitude toward learning. 

Interview Process 

• HR Phone Interview 
• 1st online interview: 1 hour meeting with the Hiring team
• 2nd online interview: 30 mins to 1 hour meeting with the Hiring Manager

If you have any questions or would like to discuss this position further, please feel free to reach out.