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Principal Applied Scientist, Alexa Enterprise Technologies
2 months ago
Overview:
The Alexa Enterprise Products team is in search of a dedicated and innovative Senior Applied Scientist with a robust background in machine learning. This role involves spearheading the design and execution of cutting-edge ML systems tailored for Alexa's enterprise applications.
Key Responsibilities:
As a Senior Applied Scientist, you will be instrumental in advancing the development of conversational agents, particularly those leveraging Large Language Models (LLMs) that adhere to enterprise-level standards. You will tackle Amazon-scale challenges that significantly enhance customer experiences.
Basic Qualifications:
- A minimum of 3 years of experience in developing machine learning models for commercial applications.
- PhD or a Master’s degree accompanied by 6+ years of applied research experience.
- Proficiency in programming languages such as Java, C++, or Python.
- Familiarity with neural deep learning techniques and machine learning methodologies.
Preferred Qualifications:
- Experience with modeling frameworks including R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, and scipy.
- Knowledge of large-scale distributed systems like Hadoop and Spark.
Diversity and Inclusion:
Amazon is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.
Compensation:
Our compensation structure reflects the labor costs across various US geographic markets. The base salary for this role ranges from $150,400 to $260,000, depending on the geographic market and other job-related factors such as knowledge, skills, and experience. Amazon offers a comprehensive total compensation package that may include equity, sign-on bonuses, and a full range of medical, financial, and other benefits.
