Amazon Sr Applied Scientist Support Products & Services 

United States, Washington, Seattle 

936309415

Key job responsibilities
• Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language-related challenges in the advertising support center domain.
• Use Transformers and apply other NLP techniques like Sentence embeddings, Dimensionality reduction, clustering and topic modeling to identify customer intents and utterances.
• Use services like AWS Lex, AWS Bedrock etc. to develop advertising facing solutions
• Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful solutions.
• Automating feedback loops for algorithms in production.
• Setup and monitor alarms to detect anomalous data patterns and perform root cause analyses to explain and address them.
• Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences.
A day in the life
You will work closely with a cross functional team of Software Engineers, Product Owners, Data Scientists, and Contact Center experts. You will research and investigate the latest options in industry to apply machine learning and generative AI to real world problems. You will work backwards from customer problems and collaborate with stakeholders to determine how to scale new technology and integrate with complicated help channels used by advertisers everyday.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Extensive experience in NLP domain with prior experience with Transformers, Generative AI and LLMs