Hybrid Engineering Manager, ML Research Engineer

at Twelve Labs

• Job title: Engineering Manager, ML Research Engineer
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python, PyTorch
• Location requirements: Hybrid, Seoul, South Korea

About the role

• ML Research Engineering Manager leading research engineering team for TwelveLabs' multimodal models. Managing technical roadmap and team growth while ensuring high engineering standards.

Responsibilities

• 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