Staff Machine Learning Engineer, Video Ingestion & Serving Platform

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Seoul, South KoreaPosted 1 day agofulltime

Apply on Twelve Labs's career page

Market pay check

Matched to Computer systems and software professionals

Source: Ministry of Employment and Labor wage information system (wage.go.kr), wage distribution by occupation.

What you'd do

Design,develop,and operate backend platforms for large-scale video processing and model serving
Improve Temporal workflow concurrency,retries,backpressure,and fault recovery for long-running jobs
Optimize throughput,latency,GPU use,and cost using load tests,profiling,and metrics

What they want

Hold five or more years of software engineering experience or equivalent demonstrated capability
Designed and operated distributed systems with workflows,queues,and databases in production
Demonstrate strong Go or Python skills and practical development ability in another language

Nice to have

Built or operated GPU inference serving with KServe,vLLM,or Triton in production
Used durable workflow engines such as Temporal,Cadence,or Step Functions at scale
Worked with sharded or distributed databases like Aurora Limitless,Citus,or Vitess

Seoulstart's read

Visa tier (likely): E-7 specialty / professional (likely)
Korean language: Korean requirement not stated
English friendliness: Medium: English JD, mixed-language workplace
Context: Seoul HQ R&D for global video AI; Construction team runs million-hour ingestion and serving; English collaboration is preferred though the posting is Korean.

This is Seoulstart's analysis of the public job description, not the employer's stated policy. Verify visa sponsorship, language requirements, and remote allowances directly with the recruiter.

Open posting