Applied Scientist, PXT Central Science
Amazon
This job at a glance
- Who can apply
- New grads, no experience needed
- Must know
- Machine learningNLPPythonJavaC++SQL
- Work
- On-site in Boston
- Pay
- Not stated by the employer.
- Skill demand
- Python35%Machine learning30%Java6%NLP5%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 2, 2026 · still open
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About the Role
The People eXperience Technology (PXT) Central Science (PXTCS) team aims to make PXT the most scientific, technologically proficient, and inclusive HR organization globally. PXTCS achieves this by enhancing scientific rigor in business-led initiatives, working backward from employee experience, and delivering science-driven products to improve the well-being and value of work for Amazonians worldwide. We are looking for an Applied Scientist to develop production machine learning systems that transform Amazon's employee listening signals into scalable insights.
Key Responsibilities
- Apply and adapt state-of-the-art NLP and machine learning techniques to extract structured, reliable signals from employee listening data (surveys, free-text feedback, and related channels), using reasonable assumptions, data, and customer requirements.
- Design, develop, and implement small-to-medium ML components within the employee listening system—such as theme and sentiment extraction, text classification, and aggregated signal generation—with input and guidance from senior scientists, taking ownership of the code for these components.
- Write secure, stable, testable, maintainable, well-reviewed code (at the SDE I bar) to deliver solutions into production that benefit customers and the business.
- Design features and signals responsibly, applying privacy-preserving practices appropriate to sensitive employee data.
- Collaborate with cross-functional partners to understand business context and impact, and help mentor interns.
- Communicate complex technical concepts to diverse audiences, from technical peers to senior leadership.
Requirements & Tech Stack
- Experience programming in Java, C++, Python or related language.
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.
Qualifications
- Experience implementing algorithms using both toolkits and self-developed code.
- Publications at top-tier peer-reviewed conferences or journals.
- Experience in natural language processing, large language models, predictive modeling, and generative AI applications applied to employee experience.
- Ability to translate ambiguous business challenges into rigorous technical solutions.