Sde-Machine Learning (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
SDE-Machine Learning (AI): Developing and maintaining infrastructure for evaluation and benchmarking of 1P coding agents and AgentCore agent primitives with an accent on Large language training and inference techniques. Focus on transforming experimental generative AI artifacts into scalable systems by incorporating robust architectural components and good engineering practices.
Location: USA, CA, Santa Clara
Salary: 165,200.00 - 223,600.00 USD annually
Company
is pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.
What you will do
- Develop and maintain infrastructure for evaluation and benchmarking of 1P coding agents and AgentCore agent primitives.
- Design and maintain end-to-end training pipelines and compute infrastructure to accelerate development of advanced AgentCore agent primitives while optimizing compute usage.
- Transform experimental generative AI artifacts into scalable systems by incorporating robust architectural components and good engineering practices.
Requirements
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
- Experience programming with at least one software programming language.
Nice to have
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
- Bachelor's degree in computer science or equivalent.
Culture & Benefits
- Embraces differences and committed to furthering culture of inclusion.
- Values work-life balance and offers flexibility in working hours.
- Dedicated to supporting new members with mentorship and career growth opportunities.
- Offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.
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