Amazon

Applied Scientist, International Machine Learning

Posted On

June 2, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Machine Learning Science

Apply By

June 24, 2025

Job Description

Unleash your passion for innovation at the forefront of artificial intelligence! We are seeking talented applied scientists who are driven to revolutionize customer experiences through technologies. Join our team and embark on a journey to redefine the boundaries of machine learning, deep learning, reinforcement learning, and large language models (LLMs).

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.

Join us and be part of a team that is redefining the future of artificial intelligence. Embrace the opportunity to invent, design, and implement state-of-the-art technologies that drive impactful outcomes and create unforgettable customer experiences.

Key job responsibilities
- Access and work with vast datasets containing billions of images, videos, and other forms of data to build large-scale, high-impact systems.
- 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.
- Collaborate closely with business partners to develop innovative solutions and deploy them into production, solving complex business problems.
- Engage with diverse teams and cross-functional groups to address and solve complex challenges, driving value and efficiency across the organization.
- Your work will push the boundaries of what's possible and deliver technologies that enhance customer experiences worldwide.- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience in designing experiments and statistical analysis of results
- Experience researching about machine learning, deep learning, NLP, computer vision, data science

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