Applied Scientist, Alexa Connections

Role overview

Research and product work

• Research, develop, and deploy language intelligence for communication experiences.
• Adapt LLMs to understand intent, context, and entities such as people, contacts, events, dates, and topics.
• Apply instruction tuning, in-context learning, and structured generation to NLP and named entity recognition tasks.
• Build agents that reason across multi-turn conversations and support summarization, smart replies, coreference, and context resolution.
• Fine-tune, align, and optimize foundation models for informal text, code-switching, misspellings, transcribed speech, and multilingual content.
• Ground responses in customer context through retrieval-augmented generation and personalization.
• Move models from research to scaled production with engineering and product teams.
• Evaluate quality, faithfulness, latency, and customer impact while keeping trust and privacy central.

Basic qualifications

• PhD, or master's degree plus 4 or more years building machine learning models or developing algorithms for business applications.
• At least 2 years of programming in Java, C++, Python, or a related language.
• Experience building and deploying production NLP models, such as named entity recognition, entity linking, intent detection, or language understanding.

Preferred qualifications

• PhD in computer science, machine learning, engineering, or a related field.
• Knowledge of standard speech and machine learning techniques.
• Experience building speech recognition, machine translation, or natural language processing systems.
• Experience applying LLMs to NLP, including instruction tuning, in-context learning, or retrieval-augmented generation.
• Experience with conversational AI, dialogue systems, or communication and messaging applications.
• Experience with multilingual NLP, coreference resolution, summarization, or noisy real-world text.

Compensation

• Annual base salary range is CAD 149,300 to 249,300 for Vancouver, British Columbia, and Toronto, Ontario.
• Total compensation may include sign-on payments and restricted stock units; final compensation depends on experience, qualifications, and location.