Applied Scientist, Alexa International Tech
Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Maskininlärning · Artificiell intelligens
I korthet
Alexa International is seeking an Applied Scientist to develop advanced technology using Large Language Models (LLMs) and speech models. This role involves contributing to scientific research and applied AI for multilingual applications, impacting global customers. The ideal candidate has a strong foundation in machine learning, speech processing, and LLM architectures.
Ansvarsområden
- Develop and implement algorithms and modeling techniques for LLMs, focusing on scientific research and applied AI for multilingual applications.
- Analyze customer behavior and experience using large-scale data.
- Build and support online & offline evaluation metrics for multimodal personal digital assistants.
- Work on ASR, TTS, and Speech-to-Speech (S2S) model training and fine-tuning.
- Fine-tune/post-train LLMs using techniques like SFT, DPO, RLHF, and RLAIF.
- Experiment with and set up experimentation frameworks for agile model and data analysis or A/B testing.
- Collaborate with cross-team scientists and engineers on LLM evaluation, post-training, and best practices for international speech and language systems.
- Contribute to the end-to-end delivery of scientific solutions from research to production.
- Communicate solutions clearly to peers, partners, and stakeholders.
- Participate in the scientific community through publications and engagement.
Krav
- Experience programming in Java, C++, Python, or a related language.
- Master's degree in CS, CE, ML, or related field; or Bachelor's degree with 2+ years of relevant research or industry experience.
- Foundational knowledge of state-of-the-art LLM architectures, training, evaluation, and post-training techniques (SFT, DPO, RLHF, RLAIF).
- Knowledge of standard speech and machine learning techniques.
Önskade kvalifikationer
- Publications at top-tier peer-reviewed conferences or journals.
- Experience in building speech recognition, machine translation, and natural language processing systems.
- Experience in professional software development.
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