Amazon
Sr. Applied Scientist, Support Products & Services
Amazon, Seattle, Washington, us, 98127
Sr. Applied Scientist, Support Products & Services
Job ID: 2666124 | Amazon.com Services LLCAre you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques to solve complex challenges in the customer service space? If so, Amazon's Support Product & Services (SP&S) team has an exciting opportunity for you as an Applied Scientist.
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.Automate feedback loops for algorithms in production.Set up 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 lifeYou 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 the 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 every day.
About the teamSP&S team provides solutions and libraries that are leveraged by teams all across Amazon Advertising to provide timely and personalized help. The team aims to predict Advertisers' problems and proactively surface intelligent guidance to customers at the right time. As an Applied Scientist, you will help the team to achieve its vision of building and implementing the next generation of Contact Center technology.
BASIC QUALIFICATIONS
- 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 with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS
- 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.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#J-18808-Ljbffr
Job ID: 2666124 | Amazon.com Services LLCAre you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques to solve complex challenges in the customer service space? If so, Amazon's Support Product & Services (SP&S) team has an exciting opportunity for you as an Applied Scientist.
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.Automate feedback loops for algorithms in production.Set up 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 lifeYou 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 the 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 every day.
About the teamSP&S team provides solutions and libraries that are leveraged by teams all across Amazon Advertising to provide timely and personalized help. The team aims to predict Advertisers' problems and proactively surface intelligent guidance to customers at the right time. As an Applied Scientist, you will help the team to achieve its vision of building and implementing the next generation of Contact Center technology.
BASIC QUALIFICATIONS
- 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 with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS
- 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.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#J-18808-Ljbffr