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Описание вакансии
Текст:
TL;DR
Applied Science Intern (AI): Building and productionizing AI-powered features for the Datadog observability platform with an accent on generative AI, machine learning models, statistical techniques, and large-scale data analysis. Focus on benchmarking state-of-the-art models, deploying and monitoring production AI systems, and translating research into customer-facing products.
Location: Paris, France; hybrid workplace
Company
Datadog develops an observability platform and AI-powered features for customer-facing products.
What you will do
- Research and benchmark state-of-the-art models for AI use cases.
- Build scalable product features using generative AI, machine learning algorithms, and statistical techniques.
- Develop, deploy, monitor, and maintain production AI models, services, and infrastructure.
- Analyze large-scale observability data and derive actionable insights.
- Present academic research and investigate emerging model architectures.
- Collaborate with engineering and product teams to productionize AI solutions.
Requirements
- Expected graduation in 2027 with a degree in machine learning, artificial intelligence, statistics, computer science, or a related field.
- Experience building machine learning models through coursework, research, internships, or personal projects.
- Strong programming skills and willingness to learn new languages and technologies.
- Ability to communicate complex technical concepts to technical and non-technical audiences.
- Strong interest in artificial intelligence, machine learning, and data-driven product development.
- Availability for a 6-month internship starting in February, March, April, May, or June 2027.
Culture & Benefits
- Hybrid workplace with an in-person intern cohort.
- Mentorship and buddy programs supporting learning and development.
- Company social events, Community Guilds, and employee resource groups.
- Relocation support and travel benefits where applicable.
- Office snacks, drinks, and catered lunches on Monday, Wednesday, and Friday.
Hiring process
- Submit a CV or resume in English.
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