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株式会社JIJ
5 views last week

◆数理最適化・ソフトウェアエンジニア(公共・安全保障領域/リード)

APAC
Japan
- 基本はリモートワークを含むハイブリッド勤務です。 東京都港区芝浦三丁⽬3番6号 東京科学⼤学キャンパス・イノベーションセンター INDEST 403号室, ただし案件の情報保全要件により、顧客・パートナー企業が用意するプロジェクトルーム(主に東京都内および首都圏)での作業が必要となる場合があります。 **就業場所の変更範囲** 入社直後:国内の自宅、事業所、またはプロジェクト上必要な作業場所 変更範囲:会社の定める国内外の事業所およびプロジェクト先(出向の場合は出向先で定める事業所を含む)

Lead engineer at JIJ driving joint projects with Japanese government agencies and large enterprises in the public/security domain: structuring decision problems, designing optimization models and algorithms, and building Python-based optimization engines, APIs and validation apps. Hybrid remote with Tokyo office and possible client-site work.

7M – 10M JPY
株式会社ティアフォー
91 views last week

1030_Senior Machine Learning Engineer, (Planning AIモデル)

RemoteAPACContractSenior
Japan
(雇入れ直後 / Initial Assignment) 東京都品川区北品川一丁目12-10 ジャコムビル、東京都品川区北品川一丁目19-4 泉北品川ビル及び労働者の自宅 Jakom Building, 1-12-10 Kitashinagawa, Shinagawa-ku, Tokyo, Izumi Kitashinagawa Building, 1-19-4 Kitashinagawa, Shinagawa-ku, Tokyo, and Employee’s home (変更の範囲 / Potential Changes) 会社の定める場所(テレワークを行う場所を含む)/Any location designated by the company (including remote work locations) 就業の場所における受動喫煙を防止するための措置に関する事項:就業場所 全面禁煙 Smoking is prohibited at all work locations (completely smoke-free environment).

Senior ML engineer developing and productizing the Planning AI that decides path and behavior for TIER IV's Autoware autonomous driving stack. Day to day: design/improve ML-based planning models, evaluate with real-vehicle data and simulation, integrate with classical planning/control modules, and optimize for real-time execution on in-vehicle ECUs.

AI Machine Learning
483K – 1.4M JPY / mo
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株式会社ティアフォー
28 views last week

1108_Backend Engineer - MLOps Platform

RemoteAPACContract
Japan
(雇入れ直後 / Initial Assignment) 東京都品川区北品川一丁目12-10 ジャコムビル、東京都品川区北品川一丁目19-4 泉北品川ビル及び労働者の自宅 Jakom Building, 1-12-10 Kitashinagawa, Shinagawa-ku, Tokyo, Izumi Kitashinagawa Building, 1-19-4 Kitashinagawa, Shinagawa-ku, Tokyo, and Employee’s home (変更の範囲 / Potential Changes) 会社の定める場所(テレワークを行う場所を含む)/Any location designated by the company (including remote work locations)

Backend engineer at TIER IV developing and operating the machine learning platform (MLOps) behind its autonomous driving system — building training pipelines for object detection, model monitoring through deployment to vehicles, and pipelines for visualizing/analyzing large-scale unstructured sensor data. Requires 3+ years of production software experience.

MLOps
483K – 1.7M JPY / mo