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At a glance
ML infrastructure engineer for MLOps/RoboOps, supporting robot learning pipelines
What you will do
- Build and manage multimodal robot data pipelines
- Optimize and operate distributed multi-GPU training infrastructure
- Develop large-scale offline evaluation platform for models
What they ask for
- Experience in MLOps and ML infrastructure
- Experience with distributed training and GPU optimization
- Experience building data pipelines and evaluation systems
Nice to have
- Experience with SLURM, Kubernetes workload management
- Experience with robotics and multimodal data pipelines
- Experience with world model-based offline evaluation
Summarised by Banseog from the company's official posting. The official posting is the reference for conditions and details.
What the posting states
Only what the company's official posting says, in its own words.
- Pay
- ¥1 – ¥7Mentioned
- Annual pay
- ¥7,000,000 – ¥11,000,000 · per yearMentioned
…を見いだせる方 - フットワークが軽く、新技術への興味をお持ちの方 応募概要 給与 ■想定年収 700万円〜1100万円(経験能力考慮の上優遇) 勤務地 東京都千代田区東神田1-7-8 （本社） 東京都中央区日
- Benefits
- MentionedMentioned
…一斉付与 ●夏季休暇（３日） ●年末年始休業（毎年10日前後） 試用期間 あり（３ヶ月） 福利厚生 ●交通費支給 ●社会保険完備（雇用保険、労災保険、健康保険、厚生年金保険） ●書籍購入支…
Not stated in the posting: Experience · Education · Work mode · Visa sponsorship · Language. Not stated does not mean not offered. Check the official posting.
Skills in the posting
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