Home › Companies › 17live › Machine Learning Engineer 機器學習工程師
Machine Learning Engineer 機器學習工程師
17live · Taipei, 中山區, 104, Taiwan · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | 17live |
| Title | Machine Learning Engineer 機器學習工程師 |
| Normalized title | - |
| Department / team | HQ/Productivity |
| Location | Taipei, 中山區 |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-03-30 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from 17live. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Taipei. | Open |
| Department jobs | Active postings in HQ/Productivity. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | 17live |
| Source | e7576a82-3247-47f1-9f71-3277b1a35084 |
| ATS provider | BambooHR |
Description
17LIVE 招募機器學習工程師(MLE),配合快速的業務擴展,致力於透過 AI 技術優化產品內容與用戶體驗。您將負責全週期的機器學習服務開發與維運,確保系統在高流量環境下的穩定性。
主要職責
基礎架構設計:設計與實作具備高容錯、可擴展的雲端機器學習基礎設施。
跨團隊協作:與研發團隊(含資料科學家、PM 等)合作,運用 ML 解決商業挑戰。
效能優化:分析並增進子系統的效能、延展性與穩定性,支撐海量線上流量。
持續交付:定期上線 ML 新功能,持續優化用戶產品體驗。
基本條件
3 年以上機器學習開發經驗。
具備將 ML 服務部署至中大型流量系統的實務經驗。
卓越的邏輯分析與程式撰寫能力。
具備開放性思維、創造力及優異的跨團隊溝通能力。
加分條件
熟悉機器學習開發流程與維運(MLOps)。
精通任一語言:Python, C++, Scala, Go。
具備分散式計算(Spark/Hadoop)或深度學習框架(TensorFlow/PyTorch)經驗。
具備 AWS/GCP 部署經驗或 SQL/NoSQL 資料庫查詢優化經驗。
1 年以上後端程式開發經驗。
Agentic AI 相關經驗(Prompt Engineering / Agentic Frameworks)。
英語溝通流利。
Join 17LIVE as a Machine Learning Engineer to drive product innovation and enhance user experience through AI. You will be responsible for designing, deploying, and maintaining high-performance ML services in a fast-paced environment.
Key Responsibilities
Infrastructure Design: Build large-scale, fault-tolerant cloud infrastructure for ML services.
Global Collaboration: Partner with cross-functional teams (Data Scientists, PMs, etc.) to solve business problems using ML.
System Optimization: Enhance the efficiency, scalability, and stability of systems handling high concurrent traffic.
Feature Deployment: Continuously deploy and iterate on ML features to improve user engagement.
Requirements
3+ years of experience in ML development.
Proven track record of deploying ML services to high-traffic production environments.
Strong analytical skills and proficiency in coding.
Creative problem-solver with excellent cross-functional communication.
Preferred Qualifications
Familiarity with ML development lifecycles and operations (MLOps).
Proficiency in one or more: Python, C++, Scala, or Go.
Experience with distributed computing (Spark/Hadoop) or Deep Learning (TensorFlow/PyTorch).
Hands-on experience with AWS/GCP and SQL/NoSQL performance tuning.
1+ year of backend development experience.
Familiarity with Agentic AI (Prompt Engineering / Agentic Frameworks)。
Fluent in English.
Full job record
| Job ID | 5fdfaa3fe83cd8c8c1df561865e70bba6d38f9af |
| Org ID | 4498b982-cf13-4785-87db-41f85327d117 |
| Source ID | e7576a82-3247-47f1-9f71-3277b1a35084 |
| Board ID | e7576a82-3247-47f1-9f71-3277b1a35084 |
| Provider | bamboohr |
| Provider Job Key | 809 |
| Title | Machine Learning Engineer 機器學習工程師 |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Taipei, 中山區, 104, Taiwan |
| Department | HQ/Productivity |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | 中山區 |
| City | Taipei |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://17live.bamboohr.com/careers/809 |
| Apply URL | https://17live.bamboohr.com/careers/809 |
| First Seen At | 2026-05-30 06:11:07Z |
| Last Seen At | 2026-06-06 10:26:50Z |
| Last Checked At | 2026-06-06 10:26:50Z |
| Last Changed At | 2026-05-30 06:11:07Z |
| Inactive At | — |
| Source Posted At | 2026-03-30 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=17live/date=2026-06-06/2026-06-06T10-26-48-308Z-66122c1ffd809ed2ba03bff90b1f72f664fb4a2075d25886855db3b4440e8ae8.json |
Event Fields
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"description": "<p><span style=\"color: #1f2328; font-family: Arial,sans-serif; font-size: 12pt\">17LIVE 招募機器學習工程師(MLE),配合快速的業務擴展,致力於透過 AI 技術優化產品內容與用戶體驗。您將負責全週期的機器學習服務開發與維運,確保系統在高流量環境下的穩定性。</span></p>\n<p><br><br></p>\n<p><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">主要職責</span></p>\n<ul>\n<li><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 10pt\">基礎架構設計:設計與實作具備高容錯、可擴展的雲端機器學習基礎設施。</span></li>\n<li><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 10pt\">跨團隊協作:與研發團隊(含資料科學家、PM 等)合作,運用 ML 解決商業挑戰。</span></li>\n<li><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 10pt\">效能優化:分析並增進子系統的效能、延展性與穩定性,支撐海量線上流量。</span></li>\n<li><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 10pt\">持續交付:定期上線 ML 新功能,持續優化用戶產品體驗。</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">基本條件</span></p>\n<ul>\n<li><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 10pt\">3 年以上機器學習開發經驗。</span></li>\n<li><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 10pt\">具備將 ML 服務部署至中大型流量系統的實務經驗。</span></li>\n<li><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 10pt\">卓越的邏輯分析與程式撰寫能力。</span></li>\n<li><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 10pt\">具備開放性思維、創造力及優異的跨團隊溝通能力。</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">加分條件</span></p>\n<ul>\n<li><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 10pt\">熟悉機器學習開發流程與維運(MLOps)。</span></li>\n<li><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 10pt\">精通任一語言:Python, C++, Scala, Go。</span></li>\n<li><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 10pt\">具備分散式計算(Spark/Hadoop)或深度學習框架(TensorFlow/PyTorch)經驗。</span></li>\n<li><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 10pt\">具備 AWS/GCP 部署經驗或 SQL/NoSQL 資料庫查詢優化經驗。</span></li>\n<li><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 10pt\">1 年以上後端程式開發經驗。</span></li>\n<li><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 10pt\">Agentic AI 相關經驗(Prompt Engineering / Agentic Frameworks)。</span></li>\n<li><span style=\"color: rgb(31, 35, 40); font-family: Arial, sans-serif; font-size: 10pt\">英語溝通流利。</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-family: Arial,sans-serif; font-size: 12pt\">Join 17LIVE as a Machine Learning Engineer to drive product innovation and enhance user experience through AI. You will be responsible for designing, deploying, and maintaining high-performance ML services in a fast-paced environment.</span></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Key Responsibilities</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Infrastructure Design: Build large-scale, fault-tolerant cloud infrastructure for ML services.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Global Collaboration: Partner with cross-functional teams (Data Scientists, PMs, etc.) to solve business problems using ML.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">System Optimization: Enhance the efficiency, scalability, and stability of systems handling high concurrent traffic.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Feature Deployment: Continuously deploy and iterate on ML features to improve user engagement.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Requirements</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">3+ years of experience in ML development.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Proven track record of deploying ML services to high-traffic production environments.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Strong analytical skills and proficiency in coding.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Creative problem-solver with excellent cross-functional communication.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Preferred Qualifications</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Familiarity with ML development lifecycles and operations (MLOps).</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Proficiency in one or more: Python, C++, Scala, or Go.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience with distributed computing (Spark/Hadoop) or Deep Learning (TensorFlow/PyTorch).</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Hands-on experience with AWS/GCP and SQL/NoSQL performance tuning.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">1+ year of backend development experience.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Familiarity with Agentic AI (Prompt Engineering / Agentic Frameworks)。</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Fluent in English.</span></li>\n</ul>",
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