Senior AI Engineer for Generative Models
hace 19 horas
About the Role
We are seeking a highly skilled Senior AI Engineer to join our team at Amazon. The ideal candidate will have expertise in developing and implementing cutting-edge technologies for efficient inference of Generative Artificial Intelligence (GenAI) models.
Key Responsibilities
- Design, develop, test, and deploy inference solutions for state-of-the-art Large Language Models (LLMs).
- Create solutions that facilitate the usage and building of artificial intelligence workflows and optimize them for cost and latency.
- Develop innovative technologies in a large distributed computing environment and lead fundamental changes in the industry.
- Build scalable, fault-tolerant, and easy-to-manage solutions on top of AWS.
- Collaborate with other engineers to identify and solve well-defined problems in GenAI.
- Mentor junior engineers and contribute to the overall growth and development of the team.
- Perform on-call duty to ensure an exceptional customer experience.
A Day in the Life
As a Senior AI Engineer, you will be an autonomous contributor to your team's software. You will deliver high-quality features spanning the full software lifecycle, including working backwards from customers, design, implementation, testing, operations, and documentation.
About the Team
Our team provides generative AI solutions that power novel products pioneering the next generation of AI applications. We are an open-minded team that values growth and improvement not only in our services but also in ourselves. We are determined to innovate on behalf of our customers and seek talented engineers who share our vision.
Requirements
- 2+ years of professional software development experience.
- 2+ years of experience programming with modern languages such as Java, C++, or C#, including object-oriented design.
- 1+ years of experience contributing to architecture and design of new and current systems.
- Strong Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.
- Fundamental knowledge of Machine Learning algorithms and techniques.
Preferred Qualifications
- Master's degree in Computer Science or related field, or equivalent experience.
- 3+ years of experience developing complex software and delivering successfully to customers.
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Work experience with developing workflows that run or train machine learning models.
Salary Estimate: $120,000 - $180,000 per year
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