Back
Tier-1 brand, popular ML role, and metro office availability increase applicant competition.
Core ML/NLP skills transfer across industries, though e-commerce domain knowledge moderately matters.
Explicit advanced degree expectations and 6+ years applied research make hiring filters stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop machine learning and statistical models to evaluate transaction legitimacy and improve operational efficiency in international seller services.
Analyze large-scale data sets to deliver complex analytical insights and build scalable solutions ensuring Amazon platform security.
Collaborate with cross-functional teams to design experiments, validate hypotheses, and communicate actionable insights to business and technical stakeholders.
3+ years of experience building machine learning models for business applications.
PhD or Master's degree with 6+ years of applied research experience.
Proficiency in programming languages such as Java, C++, Python or related languages.
Experience with neural deep learning methods and machine learning.
Experienced in modeling complex problems using machine learning and NLP techniques, including Large Language Models (LLM).
Comfortable working with distributed large-scale data processing systems like Hadoop and Spark.
Able to independently own data-related customer relationships and deliver insights to diverse audiences, including non-technical stakeholders.