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Sr. Applied Scientist － Generative AI Innovation Center
年収：1800万 ～ 3000万
採用企業案件
アマゾン ウェブ サービス ジャパン合同会社
-
- 会社規模非公開
- インターネットサービス
| 部署・役職名 | Sr. Applied Scientist － Generative AI Innovation Center |
|---|---|
| 職種 | |
| 業種 | |
| 勤務地 | |
| 仕事内容 |
Our Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The Global Support team interacts with leading companies and believes that world-class support is critical to customer success. Our Support Team also partners with a global list of customers that are building mission-critical applications on top of our cloud services. The Generative Artificial Intelligence (AI) Innovation Center team provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies leveraging cutting-edge generative AI algorithms. As an Applied Scientist, you'll partner with technology and business teams to build solutions that surprise and delight our customers. We’re looking for Applied Scientists capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities - Collaborate with scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges - Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership - Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder - Provide customer and market feedback to Product and Engineering teams to help define product direction. A day in the life We embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and gender diversity) conferences. Our culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. About the team Diverse Experiences We value diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why joining? We are the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture It’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and gender diversity conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. What if I don’t meet all the requirements? That’s okay! We hire people who have a passion for learning and are curious. You will be supported in your career development here. You will have plenty of opportunities to build your technical, leadership, business and consulting skills. Your onboarding will set you up for success, including a combination of formal and informal training. You’ll also have a chance to gain cloud certifications and access mentorship programs. You will learn from and collaborate with some of the brightest technical minds in the industry today. |
| 応募資格 |
【必須（MUST）】 - 5+ years of building machine learning models or developing algorithms for business application experience- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Knowledge of programming languages such as C/C++, Python, Java or Perl - Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences) - Business level of Japanese and English 【歓迎（WANT）】 - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field- Working knowledge of generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational Models - Hands on experience building models with deep learning frameworks like Tensorflow, PyTorch, or MXNet |
| アピールポイント | 自社サービス・製品あり 外資系企業 2年連続売り上げ10％以上UP シェアトップクラス 年間休日120日以上 産休・育休取得実績あり 教育・研修制度充実 女性管理職実績あり 資格支援制度充実 完全土日休み フレックスタイム |
| リモートワーク | 可 「可」と表示されている場合でも、「在宅に限る」「一定期間のみ」など、条件は求人によって異なります |
| 受動喫煙対策 | 屋内禁煙 |
| 更新日 | 2025/01/15 |
| 求人番号 | 4255484 |
採用企業情報
- アマゾン ウェブ サービス ジャパン合同会社
-
- 会社規模非公開
- インターネットサービス
-
会社概要
【代表者】白幡 晶彦（しらはた あきひこ）代表執行役員社長
【本社所在地】東京都品川区上大崎3-1-1
【事業内容】
Amazonが総合オンラインストアの展開で長年培ってきた クラウドコンピューティング技術から生まれたアマゾン ウェブ サービス (AWS)。 サーバやストレージ、DB等、システムインフラの大幅なコスト削減や柔軟な増減を可能とし、世界中に革新をもたらしました。日本においては2009年からアマゾン データ サービス ジャパンとしてサービスを開始。短期間で急成長を遂げ、すでに先進的な企業から大企業まで、幅広い企業様にご活用いただいています。
転職・求人情報の詳細をご覧になる場合は会員登録（無料）が必要です