Principal Data Scientist for Natural Language Processing
hace 1 día
We are seeking a highly skilled Principal Data Scientist to join our AGI Structured Information Retrieval team at Amazon. As a key member of this team, you will play a critical role in developing innovative algorithms and modeling techniques to enhance the Amazon Knowledge Graph (AKG).
About the RoleYou will be responsible for leading the development and maintenance of key platforms needed for developing, evaluating, and deploying machine learning models for real-world applications. This includes working with other team members to investigate design approaches, prototype new technology, and evaluate technical feasibility.
Responsibilities- Develop and implement cutting-edge natural language processing algorithms and techniques to improve the performance of AKG.
- Work closely with applied scientists to develop and scale machine learning models, ensuring high precision and recall, as well as low latency access to knowledge in AKG.
- Collaborate with engineers to design and develop scalable infrastructure for machine learning model deployment.
- Mentor and guide junior team members in their technical development.
To succeed in this role, you will need:
- 5+ years of professional experience in software development, with a strong emphasis on distributed systems and machine learning infrastructure.
- Hands-on experience with parallel computing platforms, such as CUDA and OpenMP.
- A deep understanding of AI frameworks, including PyTorch, TensorFlow, and JAX, and their demands on underlying compute infrastructure, memory bandwidth, network interconnect, and storage as scale goes up.
- Knowledge of emerging AI hardware accelerators and architectures.
- Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
In return for your expertise and dedication, we offer a competitive salary of $175,000 - $250,000 per year, depending on experience, plus a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off.
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