Engineering Manager, ML Research Engineer
Twelve Labs
full-time
Posted on:
Location Type: Hybrid
Location: Seoul • South Korea
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About the role
- Manage and develop a team of ML research engineers: hire, onboard, run 1:1s, drive career growth, and build a high-performance engineering culture
- Own the team's technical roadmap and execution plan, aligning research priorities with product and business goals
- Define team structure, hiring plans, and resourcing across next-generation model development and training operations
- Make key technical trade-off decisions across model architecture, training methodology, data strategy, and infrastructure investment
- Drive hiring: define role profiles, evaluate candidates, and build a pipeline of strong research engineers
- Ensure research quality and engineering rigor through design review, experiment review, and setting clear standards for reproducibility and evaluation
- Coordinate cross-functionally with Search, Product, and Infrastructure teams on model integration, timelines, and dependencies
- Remove blockers, manage scope, and keep execution focused on highest-impact work
Requirements
- 7+ years of industry experience in ML engineering or research engineering, with at least 2 years managing engineers or tech-leading a team
- Hands-on background building and shipping production ML systems: you've done the work yourself before asking others to do it
- Strong technical foundation in representation learning, contrastive learning, or large-scale model training, deep enough to evaluate research direction and make architectural calls
- Experience hiring and growing ML engineers: you've built teams, not just inherited them
- Track record of translating ambiguous research goals into concrete team roadmaps with clear milestones
- Strong communication skills: you can represent the team's work to leadership, align with cross-functional partners, and give direct, constructive feedback
- Proficiency in Python and PyTorch; you can still read and review code and experiment designs
Benefits
- 글로벌 B2B 고객과 함께 성장하는 Global Team
- 자율성과 협업을 모두 갖춘 하이브리드 근무
- 전 직원에게 맥북 및 70만 원 상당 재택근무 장비 지원, 3년 주기로 최신 장비 교체
- 식사·교통비 등 자유롭게 사용할 수 있는 월 60만 원 한도 법인카드 제공
- 사무실 내 스낵바(간식, 커피, 신선식품 제공)
- 연말 2주간 겨울방학 운영
- 연 1회 건강검진 지원
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learning engineeringresearch engineeringrepresentation learningcontrastive learninglarge-scale model trainingproduction ML systemsteam managementtechnical roadmap developmentdata strategymodel architecture
Soft Skills
team leadershipcareer growth managementcommunication skillscross-functional collaborationproblem-solvingfeedback deliveryexecution focusorganizational skillsdecision-makingperformance culture building