Sr. ML Engineer

1 day ago

Taipei, Taiwan Trend Micro Full time $120,000 - $240,000 per year

Join Trend ‧ Join New Generation

趨勢科技 - 全球雲端資安領航者 / 全亞洲最大軟體公司 / 企業版圖橫跨五大洲 / 趨勢全球研發基地在台灣 
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Overview

We are looking for talented Sr. ML Engineer to help us to study, design and implement anomaly detection in XDR for Networks for Trend Vision One. You will collaborate with network domain experts to generate a lot of valuable network anomaly detection to customers so that they are protected by proactive network security information.

Responsibilities

1. Research and develop state-of-the-art machine learning models to detect and classify anomalies within large-scale, high-velocity network data.

2. Design, implement, and optimize robust, end-to-end data pipelines and ML workflows for batch/real-time anomaly detection.

3. Engineer and validate key detection metrics and features that provide precise and actionable insights.

4. Collaborate with network domain experts to continuously improve model performance, reduce false positives, and enhance detection capabilities.

5. Own the full lifecycle of detection models, including prototyping, testing, deployment, monitoring, and iteration.

Essential Requirements

1. BS or MS degree in Computer Science, Statistics, Mathematics, or a related technical field.

2. Solid understanding and applied experience in machine learning, particularly in unsupervised learning (e.g., clustering, density estimation), statistical models, and time-series analysis for anomaly detection.

3. Proficiency in Python and SQL for building data-intensive applications.

4. Proven experience with distributed data processing frameworks (e.g., Spark, Flink) and workflow orchestration tools (e.g., Apache Airflow, Prefect).

5. Strong experience in MLOps practices, including CI/CD, automated testing, containerization (e.g., Docker, Kubernetes), and service monitoring (e.g., Grafana, Kibana).

6. Hands-on experience developing solutions on at least one major cloud platform (AWS, Azure, or GCP).

7. 3+ years of hands-on experience building and deploying machine learning models into production environments.

8. Strong problem-solving skills, a proactive attitude, and the ability to drive projects independently.

Nice-to-have as a plus

1. Experience or domain knowledge in network security, network protocols, or cybersecurity.

2. Experience with modern GenAI stacks (e.g., LLM Agents, RAG, NLP).

3. Experience with Lakehouse Open Table Formats (e.g., Apache Iceberg, Delta Lake, Hudi).

4. Experience with Infrastructure as Code (e.g., Terraform, AWS Cloudformation, AWS CDK).

5. Fluent in English.

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連結智慧 守護世界 --- Connected Intelligence for Securing a Connected World

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