The Conversational AI Modeling and Learning (CAMEL) team at Amazon is seeking a passionate, talented, and inventive Software Development Engineer/Machine Learning Engineer to play a pivotal role in developing industry-leading conversational assistant capabilities. This role involves working with cutting-edge technologies in Generative AI, including fine-tuning, In-Context Learning (ICL), and various prompt optimization techniques.
Key responsibilities include:
As an SDE with the CAMEL team, you will lead the development of high-performance, low-latency, cutting-edge prompt engineering solutions to advance state-of-the-art Conversational agents. Your work will directly impact customers through products and services utilizing conversational agent innovations. You'll leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI) to improve Conversational Excellence.
This role offers significant influence on overall strategy, helping define data, enrichment, model optimizations, and evaluation. You will drive system architecture and spearhead best practices for quality infrastructure. Joining the CAMEL team means working at the forefront of AI, collaborating with top minds pushing boundaries in deep learning, reinforcement learning, and more. This unique opportunity allows you to gain valuable experience, accelerate your career growth, and shape the future of artificial intelligence.
Amazon offers a competitive compensation package, including a base pay range of $129,300/year to $223,600/year, depending on geographic market and job-related factors. The company provides a total compensation approach, potentially including equity, sign-on payments, and a full range of medical, financial, and other benefits.
Amazon is committed to diversity and inclusion, providing equal opportunities regardless of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.