Overview In this role you will develop foundational behavioral models for Amazon Stores using Generative AI, LLMs, and large-model training. You will work with cross-functional teams to advance state-of-the-art AI that enhances customer experience and supports product and service integration. The position focuses on research, scalable deployment, and driving impactful AI solutions in a fast-paced environment. Join a mission-driven team delivering innovative AI applications at scale.
Compensation / Benefits- health insurance
- 401(k) matching
- paid time off
- parential leave
- RSUs
- sign-on payments
Responsibilities- Research and implement new generative AI algorithms and architectures
- Optimize model performance and scalability for inference and deployment
- Collaborate with applied scientists and engineers to preprocess large datasets and enhance training infrastructure
- Experiment with state-of-the-art methods to improve model quality
- Provide technical guidance for integrating generative AI solutions into products and services
Key requirements- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 2+ years of building models for business applications
- Experience programming in Java, C++, Python or related language
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in patents or publications at top-tier peer-reviewed conferences or journals (preferred)
- strong problem-solving and critical thinking
- excellent communication and teamwork abilities
- ability to collaborate with cross-functional teams
- machine learning; deep learning; generative AI principles and algorithms
- modeling and large-scale data processing tools (PyTorch, scikit-learn, Spark MLLib, PySpark, MxNet, TensorFlow, numpy, scipy)
- data preprocessing techniques (Hadoop, Spark)
