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Staff Machine Learning Engineer, Pegasus - TrainingOps

Job Overview

Location

Seoul, South Korea

Job Type

Full-time

Category

Machine Learning Engineer

Date Posted

May 19, 2026

Full Job Description

πŸ“‹ Description

  • β€’ μ£Όλ„μ μœΌλ‘œ Pegasus ν•™μŠ΅ 인프라 및 ν•™μŠ΅ 운영의 기술 λ°©ν–₯을 μ„€κ³„ν•˜κ³ , 핡심 μ‹œμŠ€ν…œμ˜ κ΅¬ν˜„μ— 직접 μ°Έμ—¬ν•©λ‹ˆλ‹€.
  • β€’ λŒ€κ·œλͺ¨ λΆ„μ‚° ν™˜κ²½μ—μ„œμ˜ μ•ˆμ •μ„±, μž¬ν˜„μ„±, νš¨μœ¨μ„±μ„ 핡심 κ°€μΉ˜λ‘œ μ‚Όμ•„, ν™•μž₯ κ°€λŠ₯ν•œ End-to-End ν•™μŠ΅ νŒŒμ΄ν”„λΌμΈμ„ μ„€κ³„ν•˜κ³  κ³ λ„ν™”ν•©λ‹ˆλ‹€.
  • β€’ λ©€ν‹°λͺ¨λ‹¬ λͺ¨λΈ κ°œλ°œμ„ μœ„ν•œ 데이터 νλ ˆμ΄μ…˜ μ›Œν¬ν”Œλ‘œμš°, ν•™μŠ΅ μ‹œμŠ€ν…œ, 평가 νŒŒμ΄ν”„λΌμΈ, ML 인프라 μ „λ°˜μ˜ 기술적 μ˜μ‚¬κ²°μ •μ„ μ£Όλ„ν•©λ‹ˆλ‹€.
  • β€’ λ¦¬μ„œμΉ˜ 아이디어λ₯Ό κ²¬κ³ ν•œ μ‹œμŠ€ν…œμœΌλ‘œ μ‹ μ†ν•˜κ³  μ•ˆμ •μ μœΌλ‘œ ν”„λ‘œλ•μ…˜ λͺ¨λΈ κ°œλ°œμ— 톡합할 수 μžˆλ„λ‘, End-to-End ν•™μŠ΅ 라이프사이클을 κ°œμ„ ν•˜κ³  μžλ™ν™”ν•©λ‹ˆλ‹€.
  • β€’ νƒμ›”ν•œ 기술적 νŒλ‹¨λ ₯을 λ°”νƒ•μœΌλ‘œ 섀계 리뷰와 싀무 ν˜‘μ—…μ„ 톡해 μ—”μ§€λ‹ˆμ–΄λ₯Ό λ©˜ν† λ§ν•˜κ³  νŒ€ μ „μ²΄μ˜ μ‹€ν–‰λ ₯을 λ†’μž…λ‹ˆλ‹€.
  • β€’ Claude, Gemini, GPT λ“± AI 기반 개발 도ꡬλ₯Ό 적극 νƒμƒ‰Β·λ„μž…ν•˜μ—¬ μ½”λ”©, μ‹€ν—˜, 디버깅, λ¬Έμ„œν™” λ“± μ „λ°˜μ— 걸친 생산성을 ν–₯μƒμ‹œν‚΅λ‹ˆλ‹€.
  • β€’ NVIDIA B300을 ν¬ν•¨ν•œ 세계 졜고 μˆ˜μ€€μ˜ AI μ»΄ν“¨νŒ… 인프라λ₯Ό ν™œμš©ν•΄ λΉ„λ””μ˜€ 뢄석 μ‹œμŠ€ν…œμ˜ ν•œκ³„λ₯Ό ν™•μž₯ν•©λ‹ˆλ‹€.
  • β€’ λ©€ν‹°λͺ¨λ‹¬ LLM κ°œλ°œμ„ μœ„ν•œ ν”„λ¦¬νŠΈλ ˆμ΄λ‹λΆ€ν„° RLκΉŒμ§€μ˜ ν•™μŠ΅ 인프라 ꡬ좕을 λ‹΄λ‹Ήν•©λ‹ˆλ‹€.
  • β€’ μ‹€μ œ ν”„λ‘œλ•μ…˜ ν™˜κ²½μ—μ„œ μ‹œκ°„ 기반 μ„Έκ·Έλ©˜ν…Œμ΄μ…˜ 및 κ΅¬μ‘°ν™”λœ 메타데이터 생성 μ‹œμŠ€ν…œμ„ κ°œλ°œν•©λ‹ˆλ‹€.
  • β€’ 수 μ‹œκ°„ λΆ„λŸ‰μ˜ μ˜μƒ 처리λ₯Ό κ°€λŠ₯ν•˜κ²Œ ν•˜λŠ” λŒ€κ·œλͺ¨ μΆ”λ‘  μ‹œμŠ€ν…œμ˜ 섀계 및 μ΅œμ ν™”μ— μ°Έμ—¬ν•©λ‹ˆλ‹€.
  • β€’ λͺ¨λΈ ν’ˆμ§ˆ ν–₯상과 λΉ λ₯Έ 반볡 κ°œλ°œμ„ μœ„ν•œ 데이터 νλ ˆμ΄μ…˜ 및 평가 νŒŒμ΄ν”„λΌμΈμ„ κ΅¬μΆ•ν•˜κ³  μš΄μ˜ν•©λ‹ˆλ‹€.
  • β€’ μ˜μƒμ˜ λΉ„μ£Όμ–Ό, μŒμ„±, μ˜€λ””μ˜€, ν™”λ©΄ λ‚΄ ν…μŠ€νŠΈλ₯Ό μ’…ν•©μ μœΌλ‘œ μ΄ν•΄ν•˜κ³ , 이λ₯Ό μ‹œκ°„ 기반(Time-aware) κ΅¬μ‘°ν™”λœ λ°μ΄ν„°λ‘œ λ³€ν™˜ν•˜λŠ” μ‹œμŠ€ν…œμ„ κ°œλ°œν•©λ‹ˆλ‹€.
  • β€’ Pegasus의 핡심 κΈ°λŠ₯인 Segmentλ₯Ό 톡해 고객이 μ •μ˜ν•œ ꡬ간 μœ ν˜•κ³Ό 메타데이터 μŠ€ν‚€λ§ˆμ— κΈ°λ°˜ν•œ μž₯λ©΄ 탐지 및 정보 ꡬ쑰화 μ‹œμŠ€ν…œμ„ κ΅¬ν˜„ν•©λ‹ˆλ‹€.
  • β€’ 검색(Search), 아카이빙(Archive), μ»΄ν”ŒλΌμ΄μ–ΈμŠ€(Compliance), CMS, μ½˜ν…μΈ  운영 μžλ™ν™” λ“±μ˜ λΉ„μ¦ˆλ‹ˆμŠ€ μ›Œν¬ν”Œλ‘œμš°μ— 기반 μΈν”„λΌλ‘œ μž‘λ™ν•˜λŠ” μ‹œμŠ€ν…œμ„ κ΅¬μΆ•ν•©λ‹ˆλ‹€.
  • β€’ μ—°κ΅¬μ—μ„œ ν”„λ‘œλ•μ…˜κΉŒμ§€ μ΄μ–΄μ§€λŠ” 사이클을 κ°€λŠ₯ν•œ λΉ λ₯΄κ²Œ κ°€μ†ν•˜λŠ” 것을 λͺ©ν‘œλ‘œ μ‚Όκ³ , μ‹€ν—˜-배포-ν”Όλ“œλ°± 루프λ₯Ό μ΅œμ ν™”ν•©λ‹ˆλ‹€.

🎯 Requirements

  • β€’ Senior Individual Contributorλ‘œμ„œ λŒ€κ·œλͺ¨ ML μ‹œμŠ€ν…œμ„ 직접 κ΅¬μΆ•ν•˜κ³  ν”„λ‘œλ•μ…˜ν™”ν•œ ν’λΆ€ν•œ κ²½ν—˜
  • β€’ λ³΅μž‘ν•œ ML 인프라 λ˜λŠ” ν•™μŠ΅ μ‹œμŠ€ν…œ ν”„λ‘œμ νŠΈμ—μ„œ 기술 λ°©ν–₯을 이끌고, κΉŒλ‹€λ‘œμš΄ μ—”μ§€λ‹ˆμ–΄λ§ ν™˜κ²½μ—μ„œ μ•„ν‚€ν…μ²˜ μ˜μ‚¬κ²°μ •μ„ μ£Όλ„ν•œ κ²½ν—˜μ΄ 있음
  • β€’ λŒ€κ·œλͺ¨ λΆ„μ‚° ν•™μŠ΅ μ‹œμŠ€ν…œ, ν•™μŠ΅ 인프라, λ˜λŠ” λŒ€κ·œλͺ¨ 데이터 처리 νŒŒμ΄ν”„λΌμΈ λΆ„μ•Όμ˜ κΉŠμ€ 싀무 κ²½ν—˜
  • β€’ λ¨Έμ‹ λŸ¬λ‹μ— λŒ€ν•œ νƒ„νƒ„ν•œ 지식과 λΉ„μ „Β·μ–Έμ–΄Β·μ˜μƒ 기반 λͺ¨λΈ λ“± λ©€ν‹°λͺ¨λ‹¬ μ‹œμŠ€ν…œ κ²½ν—˜ 보유
  • β€’ μ‹œμŠ€ν…œ 섀계, μ„±λŠ₯, μ•ˆμ •μ„±, μž¬ν˜„μ„±, μž₯기적 μœ μ§€λ³΄μˆ˜μ„±μ„ μ•„μš°λ₯΄λŠ” κ· ν˜• 작힌 기술적 νŒλ‹¨λ ₯
  • β€’ μ—”μ§€λ‹ˆμ–΄ λ©˜ν† λ§μ„ 톡해 νŒ€ μ „μ²΄μ˜ 기술적 λ ˆλ²„λ¦¬μ§€λ₯Ό λ§Œλ“€μ–΄λ‚Έ 싀적이 있음

πŸ–οΈ Benefits

  • β€’ κΈ€λ‘œλ²Œ B2B 고객과 ν•¨κ»˜ μ„±μž₯ν•˜λŠ” Global Team μ°Έμ—¬ 기회
  • β€’ μ΅œμ‹  λ§₯뢁 및 70만 원 상당 μž¬νƒκ·Όλ¬΄ μž₯λΉ„ 지원, 3λ…„ 주기둜 μ΅œμ‹  μž₯λΉ„ ꡐ체
  • β€’ Tech 직ꡰ LLM 토큰 λ¬΄μ œν•œ 지원
  • β€’ μ—° 140λ§Œμ› 상당 μžκΈ°κ°œλ°œλΉ„(κ°•μ˜, 컨퍼런슀, 멀버십 λ“± μ‚¬μš© κ°€λŠ₯)
  • β€’ μ—° 720λ§Œμ› 상당 식비·ꡐ톡비 λ“± 자유 μ‚¬μš© λ²•μΈμΉ΄λ“œ 제곡
  • β€’ 사무싀 λ‚΄ μŠ€λ‚΅λ°” 운영(간식, 컀피, 제철 과일 λ“±) 및 μ˜€ν›„ 7μ‹œ 이후 저녁 μ‹λŒ€ 제곡

Skills & Technologies

Senior
Onsite

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About Twelve Labs Inc.

Twelve Labs builds multimodal video understanding AI. Its cloud platform transforms long-form video into vector embeddings that capture visual, audio, speech and contextual information, enabling semantic search, summarization, chaptering, moderation and analytics through a single API. Developers upload video, index it, then query in natural language or image to retrieve exact moments, generate highlights or detect unwanted content. Models are pretrained on large-scale web video, continually fine-tuned for accuracy and latency, and deployable on dedicated GPU clusters for enterprise security. Founded in 2021, the San Francisco company serves media, ed-tech, safety and e-commerce customers worldwide.

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