Applied AI Intern
Applied AI Intern contributing to machine-learning research, generative AI features, and production model deployment for customer-facing observability products. Requires a relevant degree, hands-on machine-learning experience, strong programming skills, and graduation in 2027.
About the job
Responsibilities
- 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 insights.
- Present academic research and investigate emerging model architectures.
- Collaborate with engineering and product teams to productionize AI solutions and deliver customer-facing features.
Requirements
- Expected to graduate 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.
- Interest in artificial intelligence, machine learning, and data-driven product development.
- Available for a six-month internship beginning in February, March, April, May, or June 2027.
Benefits
- Mentorship and buddy programs.
- In-person intern cohort, social events, community guilds, and employee resource groups.
- Relocation support and travel benefits where applicable.
- Office snacks, drinks, and catered lunches.
Skills
Artificial Intelligence, Machine Learning, Generative AI, Statistical Modeling, Python, Model Deployment, Model Monitoring, Machine Learning Algorithms, Observability Data, Large-Scale Data
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