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HomeCompanies17liveMachine 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

FieldValue
Company17live
TitleMachine Learning Engineer 機器學習工程師
Normalized title-
Department / teamHQ/Productivity
LocationTaipei, 中山區
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-03-30 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from 17live.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Taipei.Open
Department jobsActive postings in HQ/Productivity.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

Company17live
Sourcee7576a82-3247-47f1-9f71-3277b1a35084
ATS providerBambooHR

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 ID5fdfaa3fe83cd8c8c1df561865e70bba6d38f9af
Org ID4498b982-cf13-4785-87db-41f85327d117
Source IDe7576a82-3247-47f1-9f71-3277b1a35084
Board IDe7576a82-3247-47f1-9f71-3277b1a35084
Providerbamboohr
Provider Job Key809
TitleMachine Learning Engineer 機器學習工程師
Normalized Title
Statusactive
Activeyes
Location TextTaipei, 中山區, 104, Taiwan
DepartmentHQ/Productivity
Team
Employment Typefull_time
Workplace Type
Remote Policy
Country
Region中山區
CityTaipei
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://17live.bamboohr.com/careers/809
Apply URLhttps://17live.bamboohr.com/careers/809
First Seen At2026-05-30 06:11:07Z
Last Seen At2026-06-06 10:26:50Z
Last Checked At2026-06-06 10:26:50Z
Last Changed At2026-05-30 06:11:07Z
Inactive At
Source Posted At2026-03-30 00:00:00Z
Source Updated At
Raw Payload Uris3://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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  "last_changed_at": "2026-05-30T06:11:07.682Z",
  "active_status": "active"
}
Parsed Structured
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    "confidence": 0.8
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  "inferred_at": "2026-06-06T10:26:50.534Z",
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  "salary_currency": null
}
Extensions
{}
Native Structured
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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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}
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