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Manager, Applied Science, Compliance Shared Services
1 week ago
Job ID: 2826707 | Amazon Development Center (Romania) S.R.L.
Our mission is to build best-in-class, product-based compliance solutions harnessing the power of state-of-the-art multilingual, multimodal, LLMs, and generative AI to improve productivity and elevate user experiences. We develop these solutions as foundational multi-use ML services that eliminate compliance friction for our partners, reduce operational costs, and ensure a great buyer experience, while enabling extensions beyond compliance to non-compliance use cases Amazon wide.
As a Manager, Applied Science in Compliance Shared Services (CoSS) Romania Applied Research & Development Center, you will lead scientists in applying state-of-the-art unstructured data validation and processing approaches to develop ML primitives that enable Amazon to process unstructured content, such as document and images, at Amazon scale. You will lead the science vision, roadmap, and customer working backwards, while partnering with technology and product partners to enable our best-in-class ML algorithms and solutions to be easily adopted and integrated into customer technology stacks to maximize business impact for Amazon. You will develop mechanisms that not just deliver results but also foster growth and innovation among scientists, and contribute to developing CoSS Romania Applied Research and Development Center into a world-class applied research organization internally within Amazon and externally in tier 1 science conferences.
A successful candidate is passionate about driving innovation and shaping the future of e-commerce, spearheading the development of innovative, ML, LLM and generative AI-driven solutions, and being a trusted role model who can energize our cross-functional team of scientists, engineers, product and business leaders to persevere through challenges and setbacks to achieve impactful results on behalf of our customers.
Key job responsibilities- Lead Science Vision and Roadmap – Own and drive team charter, working backwards from customer problems and product strategy, to develop a long-term science vision and plan, team tenets, and contribute to organizational working backwards documents (e.g. press release, FAQs).
- Execution of Science Roadmap – Including goals and supporting VP-level business goals. Develop mechanisms that enable team to collaborate on research, deliver independently, and integrate with e2e process and upstream and downstream technology and business dependencies. Insist on a high bar for deliveries with monitoring and audit mechanisms for your team's solutions.
- Lead Science Brand internally and externally – Work with CoSS Product and leaders to expose science innovations to other organizations. Develop the CoSS Romania Applied Research and Development Center as a recognized brand for high quality AI research and ML products. Plan research roadmap to submit and publish in external tier 1 conferences.
- Hire, develop and nurture scientists - Grow and develop scientists, both direct reports and others in organization, in not just hard science and technical skills and competencies, but also leadership principles and collaborations with other scientists and project team members to grow their ability to increase scope, impact and influence at Amazon.
10:00 am - Team stand-up
10:30 am - Review/drive key projects with scientists in team.
12:00 pm - Lunch with team and/or partners in the CoSS Romania Applied Research and Development Center
1:00 pm - Meet with EU business teams, and other tech partners on dependencies, status, and dates for a key project.
2:00 pm - Prepare for a demo with a potential customer
3:00 pm - 1:1s with team
3:30 pm - Continue writing a document for a new team product and research direction.
5:00 pm - Meet with US leaders - principal scientist, manager, and Product team, as well as other CoSS or business partners in the US.
6:00 pm - Project meeting with US partners.
7:00 pm - Last minute escalation - clarify team's responsibilities with a US TPM.
7.30 pm - End - Go home for dinner.
Experienced leading a team of scientists to deliver applied ML solutions in an industry setting, while also publishing in public ML conferences.
PREFERRED QUALIFICATIONSKey author in public ML publications prior to becoming a manager.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.
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