Applied Scientist II, Alexa International Tech
Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Maskininlärning · Artificiell intelligens
I korthet
Alexa International is seeking an Applied Scientist II in Bengaluru, Karnataka to develop advanced technology using Large Language Models (LLMs), ASR, TTS, and Speech to Speech models. The role requires strong deep learning and generative models knowledge, with a focus on building novel algorithms and modeling techniques that impact international customers. Candidates should have a solid understanding of machine learning, natural language understanding, and LLM architectures.
Ansvarsområden
- Develop novel algorithms and modeling techniques for LLMs, ASR, TTS, and Speech to Speech models.
- Analyze and model customer behavior and experience based on large-scale data.
- Build online and offline evaluation metrics and methodologies for multimodal personal digital assistants.
- Drive research in ASR, TTS, and Speech-to-Speech model training and fine-tuning.
- Advance multilingual speech recognition and synthesis using LLM-based architectures.
- Fine-tune/post-train LLMs using techniques like SFT, DPO, RLHF, and RLAIF.
- Collaborate with partner teams on evaluation frameworks and post-training methodologies.
- Communicate solutions clearly to partners and stakeholders.
- Contribute to the scientific community through publications and community engagement.
Krav
- 3+ years of building machine learning models for business application experience.
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
- Experience programming in Java, C++, Python or related language.
- Deep expertise in ASR/TTS architectures, end-to-end speech models, and LLM integration with speech systems.
Önskade kvalifikationer
- Experience using Unix/Linux.
- Experience building machine learning models or developing algorithms for business application.
- Deep expertise in state-of-the-art LLM architectures, training, evaluation, and post-training techniques (SFT, DPO, RLHF, RLAIF).
#Applied Science#Alexa International#LLMs#ASR#TTS#Speech to Speech#deep learning#generative models#machine learning#natural language understanding#multimodal