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Описание вакансии
Текст:
TL;DR
Applied AI Engineer (AI): Building and optimizing advanced AI agents and ML solutions for enterprise customers with an accent on multimodal functionality and tool-calling. Focus on translating complex business requirements into technical architectures and deploying production-ready code in high-impact domains.
Location: Must be based in the United States (onsite and virtual collaboration required)
Company
Scale AI is a leading AI data foundry accelerating the development of generative AI, defense applications, and autonomous vehicles through its Scale Generative Platform (SGP).
What you will do
- Design, plan, and optimize AI architectures to solve deep technical problems for enterprise customers.
- Develop advanced AI agents utilizing multimodal functionality and tool-calling capabilities via the SGP.
- Translate complex business requirements into actionable technical ML solutions.
- Collaborate cross-functionally with customer teams both onsite and virtually.
- Write, debug, and push production code directly into both company and client codebases.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, or another quantitative field.
- Proficiency in Python and data libraries such as numpy and pandas.
- Experience developing machine learning models within cloud environments (AWS or GCP).
- Deep familiarity with data-driven iteration and how dataset changes influence model results.
- Work authorization and presence in the US for collaboration with US government agencies and corporate clients.
Nice to have
- Experience building and deploying Generative AI applications in real production use cases.
- Familiarity with state-of-the-art LLMs and their specific strengths and weaknesses.
- Strong knowledge of professional software engineering best practices.
Culture & Benefits
- Opportunity to work with prestigious industry leaders including Meta, EY, and various U.S. government agencies.
- Inclusive and equal opportunity workplace committed to diversity and accessibility.
- High-impact environment focusing on the frontier of AI agents and foundation models.
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