Applied Scientist, Compliance and Safety Services

Applied Scientist, Amazon Compliance and Safety Services

Job :  | Amazon Development Center (Romania) S.R.L.

Amazon's Compliance and Safety Services (CoSS) Team is looking for a smart and creative Applied Scientist to apply and extend state‑of‑the‑art research in NLP, multi‑modal modeling, domain adaptation, continuous learning and large language models. At Amazon, we are working to be the most customer‑centric company on earth. Millions of customers trust us to ensure a safe shopping experience. This is an exciting and challenging position to drive research that will shape new ML solutions for product compliance and safety around the globe to achieve best‑in‑class, company‑wide standards around product assurance.

You will research on large amounts of tabular, textual, and product image data from product detail pages, seller details, and customer feedback, evaluate state‑of‑the‑art algorithms and frameworks, and develop new algorithms to improve safety and compliance mechanisms. You will partner with engineers, technical program managers, and product managers to design new ML solutions implemented across the entire Amazon product catalog.

• Research and evaluate state‑of‑the‑art algorithms in NLP, multi‑modal modeling, domain adaptation, continuous learning, and large language models.
• Design new algorithms that improve on the state‑of‑the‑art to drive business impact, such as synthetic data generation, active learning, and grounding LLMs for business use cases.
• Design and plan the collection of new labels and audit mechanisms to develop better approaches that will further improve product assurance and customer trust.
• Analyze and convey results to stakeholders and contribute to the research and product roadmap.
• Collaborate with other scientists, engineers, product managers, and business teams to creatively solve problems, measure and estimate risks, and constructively critique peer research.
• Consult with engineering teams to design data and modeling pipelines that interface with new and existing software.
• Publish research publications at internal and external venues.

The science team delivers custom state‑of‑the‑art algorithms for image and document understanding. The team specializes in developing machine learning solutions to advance compliance capabilities. Their research contributions span multiple domains including multi‑modal modeling, unstructured data matching, text extraction from visual documents, and anomaly detection, with findings regularly published in academic venues.

• Experience programming in Java, C++, Python or related language.
• Current or pursuing a Bachelor's degree or higher in Engineering, Computer Science, Machine Learning, Statistics, Physics, or related fields.
• Experience building machine learning models or developing algorithms for business applications.

• Experience in professional software development.
• Experience implementing algorithms using both toolkits and self‑developed code.
• Experience in patents or publications at top‑tier peer‑reviewed conferences or journals.
• Experience working cross‑functionally across several teams.
• Experience with modeling tools such as scikit‑learn, PyTorch, Num Py, Sci Py, etc.

Amazon is an equal‑opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.