07 Sep
|
ADCI MAA 12 SEZ - H82
|
Bengaluru
07 Sep
ADCI MAA 12 SEZ - H82
Bengaluru
DESCRIPTION:
Alexa Connections is looking for a passionate, talented, and inventive Applied Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring robust deep learning and generative models knowledge. You will contribute to developing novel solutions and deliver high-quality results that impact Connections products and services.
Key job responsibilities
A day in the life
Analyze, understand, and model customer behavior and the customer experience based on large-scale data.
Build novel online & offline evaluation metrics and methodologies for multimodal personal digital assistants.
Fine-tune/post-train LLMs using techniques like SFT, DPO, RLHF, and RLAIF.
Set up experimentation frameworks for agile model analysis and A/B testing.
Collaborate with partner teams on LLM evaluation frameworks and post-training methodologies.
Contribute to end-to-end delivery of solutions from research to production, including reusable science components.
Communicate solutions clearly to partners and stakeholders.
Contribute to the scientific community through publications and community engagement.
BASIC QUALIFICATIONS:
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 programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS:
Experience in qualified software development
PhD in computer science, computer engineering, or related field
Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
📌 Applied Scientist, Alexa Connections Bengaluru
🏢 ADCI MAA 12 SEZ - H82
📍 Bengaluru