Applied Scientist II, Decision Science and Technology (DST)

Amazon Lab126

Amazon Lab126 is on a mission to refine the reliability of equipment through cutting-edge scientific solutions. The Applied Scientist II role is crucial in developing AI models that prevent equipment downtime. Collaborating with a talented team of scientists and engineers, the role seeks to innovate and advance predictive maintenance systems.

In this role you can expect to have the responsibilities:

• Design and implement scalable infrastructure for stacked deep learning defect detection.
• Develop anomaly detection and large language models to identify package defects.
• Scale models for deployment across numerous global sites.
• Engage with internal and external stakeholders to achieve cross-team impact.
• Produce and share technical papers and presentations with diverse audiences.

This role comes with the following benefits:

• Inclusive and diverse work environment.
• Opportunities to contribute to the research community.
• Cross-functional team collaboration and impact.

This role requires you to have:

• PhD or Master's degree with relevant experience in CS, CE, ML, or related fields.
• Experience with patents or publications in top-tier venues.
• Proficiency in Java, C++, or Python.
• Skills in algorithms, data structures, parsing, numerical optimization, and high-performance computing.
• Capability in building machine learning models for business applications.

You would benefit from having:

• Experience with Unix/Linux systems.
• Professional software development experience.

Amazon is committed to diversity, offering equal opportunities and valuing privacy in recruitment. They emphasize creating an inclusive culture that empowers employees and support for candidates with disabilities during the hiring process.