Applied Scientist, Compliance Shared Services

BASIC QUALIFICATIONS

- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

PREFERRED QUALIFICATIONS

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals

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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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 an Applied Scientist in Compliance Shared Services (CoSS) Romania Applied Research & Development Center, you will collaborate with CoSS scientists and engineers to apply 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 collaborate closely with senior and principal scientists to develop 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 also foster growth and innovation together with other scientists, and contribute to developing CoSS Romania Applied Research and Development Center into a world-class applied research organization internally within Amazon and publish 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
Design and execute science experiments – work backwards from automation goals to design science formulations and experiments that increase automation and capture cost savings. Develop novel architectures, pre-train/fine-tune on Amazon datasets, push state-of-the-art, and collaborate with engineers to launch ML solutions into production.

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. Contribute to authoring papers, submissions and publications in external tier 1 conferences.

Develop and nurture other scientists - Grow and develop other scientists. Every scientist should grow and develop their own competencies and contribute to others' growth and development. We believe that the whole is greater than the sum of parts, and we grow 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.

A day in the life
9:00 am - start work
10:00 am - Team stand-up
10:30 am - Individual work time
12:00 pm - Lunch with team and/or partners in the CoSS Romania Applied Research and Development Center
1:00 pm - Discuss progress on org-wide initiatives with other scientists in the team.
2:00 pm - Meet engineers to discuss deployment of your tested algorithm.
2:30 pm - work time
4:30 pm - 1:1 with manager
5:00 pm - Meet with US collaborators - Product Managers, or other scientists in the broader org.
6:00 pm - End work