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Senior Machine Learning Engineer, Jockey Core

Seoul, South Korea

Posted 4 days ago

fulltime

Apply on Twelve Labs's career page

What you'd do

Build benchmarks and load tests that replay agent traffic,measuring TTFT and inter-token latency separately.
Apply inference optimization techniques (quantization,batching,disaggregated prefill/decode,speculative decoding) to hit cost and latency targets.
Build cost models and drive production hardening through autoscaling,capacity planning,observability,failover,and rollback-safe rollouts.

What they want

Significant experience serving and optimizing large-scale LLM inference in production (vLLM,TensorRT-LLM,SGLang,or similar).
Experience with batching/scheduling,quantization,disaggregated prefill/decode,and speculative decoding techniques.
Experience designing and operating large-scale distributed systems in high-performance GPU environments.

Nice to have

Experience contributing to or customizing internals of an LLM inference server (vLLM,TensorRT-LLM,SGLang).
Understanding of serving characteristics of compressed (pruned/quantized) models or reasoning/agentic LLMs.
Experience designing multi-region/multi-cluster serving infrastructure or large-scale GPU capacity planning.

Seoulstart's read

Visa tier (likely): F-2 / F-4 / F-5 / F-6 holders welcome
Korean language: Korean not required
English friendliness: High: JD in English, foreign-friendly signals
Context: US-headquartered AI company with Seoul office; English-primary workplace with global team; visa sponsorship typically smooth for technical roles at foreign-invested entities.

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.

View the full posting and apply on Twelve Labs's career page

Related Seoulstart guides

F-2 visa guide
F-4 visa guide
F-series work rights

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