Senior ML Research Engineer, Pegasus - TrainingOps
TwelveLabs3 days ago
Seoul, Korea, SouthSenior
Responsibilities
- Drive technical direction for Pegasus training infrastructure and training operations while remaining hands-on in system design and implementation.
- Design and evolve scalable, reliable, reproducible, and efficient end-to-end distributed training pipelines.
- Lead technical decisions across data curation workflows, training systems, evaluation pipelines, and ML infrastructure.
- Automate the training lifecycle to move research ideas into robust production model development.
- Mentor engineers, conduct design reviews, and improve the team’s technical execution.
- Evaluate and adopt AI-assisted development tools including Claude, Gemini, and GPT.
Requirements
- Significant experience building and productionizing large-scale ML systems as a hands-on individual contributor.
- Experience driving technical direction and making architectural decisions for complex ML infrastructure or training systems.
- Strong experience with distributed training systems, training infrastructure, or large-scale data processing pipelines.
- Strong machine learning foundations and experience with multimodal vision, language, or video models.
- Strong technical judgment in system design, performance, reliability, reproducibility, and maintainability.
- A track record of mentoring engineers and creating technical leverage beyond individual contributions.
- Preferred: experience building data curation, evaluation, or training workflow infrastructure.
- Preferred: experience optimizing distributed training in high-performance GPU environments.
- Preferred: experience with cutting-edge accelerator hardware and large-scale multimodal model training.
- Preferred: a Master’s or PhD in Machine Learning, Computer Science, or a related technical field.
Benefits
- Hybrid work arrangement with autonomy and collaboration.
- Latest MacBook, home-office equipment support worth KRW 700,000, and equipment replacement every three years.
- Unlimited LLM tokens for responsible and effective AI use in technical work.
- Annual professional development allowance worth KRW 1,400,000 for courses, conferences, and memberships.
- English education and global buddy programs.
- Taxi reimbursement for nighttime and weekend commuting.
- Annual corporate card allowance worth KRW 7,200,000 usable for meals, transportation, and other expenses.
- Office snack bar with snacks, coffee, and seasonal fruit.
- Dinner allowance when working in the office after 7 p.m.
- Annual health checkups for the employee and one family member.
- Group insurance with a choice of accident, dental, or family accident coverage.
- Flu vaccination reimbursement.
- Two-week paid holiday break at year-end.
- Three-month probation period for all hires with full salary paid during probation.
- Applicants in Korea must be unrestricted for overseas travel.
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