Applied Scientist II, Digital Acceleration
DESCRIPTION
The Digital Acceleration (DA) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms for solving digital business problems.
Key job responsibilities
1. Research, experiment, and build proof of concepts to advance the state of the art in AI & ML.
2. Collaborate with cross-functional teams to architect and execute technically rigorous AI projects.
3. Adapt quickly to evolving technical requirements and deadlines in dynamic environments.
4. Communicate effectively (written & spoken) across teams.
5. Document algorithms, methodologies, and findings for transparency and reproducibility.
6. Publish research papers in reputable venues.
7. Support on-call activities for critical issues.
BASIC QUALIFICATIONS
* Experience building machine learning models or developing algorithms for business applications.
* PhD or Master’s degree with experience in CS, CE, ML, or related fields.
* Knowledge of programming languages such as C/C++, Python, Java, or Perl.
* Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel/distributed/high-performance computing.
* Proficiency in coding and machine learning frameworks.
* Understanding of statistical measures like confidence intervals, error significance, data set development and evaluation.
* Excellent communication skills and ability to collaborate in a distributed team.
PREFERRED QUALIFICATIONS
* 3+ years of experience in building machine learning models or algorithms for business applications.
* Publications at top-tier peer-reviewed conferences or journals.
* Experience analyzing data for hidden patterns and conducting error/deviation analysis.
* Ability to develop experimental and analytic plans, use strong baselines, and determine cause-effect relations.
* Strong organization and attention to detail.
* Comfortable in fast-paced, collaborative, dynamic environments.
Additional Qualifications
* Experience using Unix/Linux.
* Experience in professional software development.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you need workplace accommodations during the application and hiring process, please visit this link. Amazon is an equal opportunity employer and does not discriminate on protected grounds.
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