Amazon Applied Scientist International Machine Learning 

India, Karnataka 

265338212

At our team, you'll have the opportunity to tackle complex challenges across various domains, from optimizing marketing strategies to enhancing delivery time predictions. Whether your expertise lies in teaching machines to learn and adapt, building intelligent systems that interact using human-like language, or creating seamless user experiences, we offer a role that aligns with your skills and ambitions.Our full-time positions span several key areas, including:1. Machine Learning: Unleash the power of machine learning theory through experimentation and innovation. Leverage techniques such as random forests, Bayesian networks, ensemble learning, and clustering to develop learning systems capable of handling massive datasets and solving previously intractable problems.2. Reinforcement Learning: Drive advancements in reinforcement learning by developing algorithms that enable systems to make sequential decisions, learn from their environment, and optimize performance in dynamic, complex scenarios. Apply your expertise to create intelligent systems that learn and adapt in real time.3. Large Language Models (LLMs): Work on state-of-the-art LLMs to push the boundaries of natural language understanding and generation. Develop and deploy models that can comprehend, generate, and interact using human-like language, enabling a wide range of application-oriented solutions.4. Natural Language Processing and Speech Technologies: Engage with research in natural language processing. We are hiring in all areas of spoken language understanding, including NLP, NLU, ASR, and text-to-speech (TTS), to tackle complex challenges in human-computer interaction.5. Computer Vision and Robotics: Develop solutions where visual input enhances customer experiences. Work with advanced technology, focusing on highly targeted use cases to launch products that offer innovative and practical solutions to real-world problems.Key job responsibilities- Analyze and model terabytes of text, images, and various data types to tackle real-world problems, translating business and functional requirements into rapid prototypes or proofs of concept.
- Lead the design and development of end-to-end systems, taking ownership of solutions from concept to deployment.
- Write technical white papers, develop technical roadmaps, and drive production-level projects that support critical initiatives.

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals