Applied Scientist II, Alexa Devices, GENIE Science

Amazon; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

A leading technology company in Toronto is seeking a passionate Applied Scientist with expertise in Natural Language Processing and machine learning. You will collaborate with other scientists to develop novel algorithms impacting customer experience through advanced recommendations. The ideal candidate has a relevant advanced degree and significant experience in programming and machine learning applications.

Qualifications

• 3 years of experience building machine learning models for business applications.
• Experience programming in Java, C, Python, or related languages.
• Publications at peer-reviewed NLP/ML conferences (e.g., ACL, EMNLP).

Responsibilities

• Collaborate with applied scientists and engineers to develop novel algorithms.
• Leverage Amazon's data sources and large-scale computing resources.
• Deliver impactful products and services that utilize machine learning technologies.

Skills

Machine Learning

Natural Language Processing

Programming in Java, C, Python

Data Analysis Skills

Good written and verbal communication skills

Education

PhD or Masters degree in relevant fields

Job description

Overview

We are a part of Amazon Alexa Devices organization with the mission delight customers through contextual and personalized proactive experiences that keep customers informed engaged and productive without cognitive burden.

We are developing an advanced system using Large Language Model (LLM) technologies to deliver engaging intuitive and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences surpassing the capabilities of previous machine learning models. We are looking for a passionate talented and resourceful Applied Scientist in the field of Natural Language Processing (NLP) Recommender Systems and / or Information Retrieval to invent and build scalable solutions for a state-of-the-art context-aware speech assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments be self-motivated to take on challenging problems to deliver big customer impact shipping solutions via rapid experimentation and then iterating on user feedback and interactions.

Key job responsibilities

As an Applied Scientist on the team you will collaborate with other applied scientists and engineers to develop novel algorithms to enable timely relevant and delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learning deep learning and language model technologies. You will leverage Amazons heterogeneous data sources and large-scale computing resources to accelerate advances in the state of art.

• PhD or Masters degree and 3 years of building machine learning models for business application experience
• 3 years of building models for business application experience
• Experience programming in Java C Python or related language
• PhD in Electrical Engineering Computer Sciences or Mathematics with specialties in natural language processing recommendation system information retrieval
• 2 years experience in building machine learning or deep learning models for large scale customer facing product or features.
• Publications at peer-reviewed NLP / ML conferences (e.g. ACL EMNLP NAACL NeurIPS ICLR ICML AAAI)
• Solid software development experience
• Good written and verbal communication skills

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country / region youre applying in isnt listed please contact your Recruiting Partner.

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1