AI Intern

The AI Intern will support  teams with a primary focus on organization, AI workflow development: Creating, testing, and iterating on AI-powered automations and agents. Throughout the internship, you will engage in meaningful operational projects, attend lunch‑and‑learn sessions with internal stakeholders, participate in networking activities, and contribute to project showcases that highlight your work. This position requires working onsite at our Sunnyvale office, with an anticipated start date in Fall 2026 or early 2027.

Key Responsibilities

• AI workflow development: Creating, testing, and iterating on AI-powered automations and agents.
• Monitoring and anomaly detection: Implementing and maintaining AI-driven tools to monitor infrastructure performance, detect anomalies, and reduce alert fatigue.
• Data analysis and preparation: Analyzing large operational datasets and preparing or annotating data to train or refine AI models.
• Documentation and process improvement: Mapping existing manual workflows, documenting new AI processes, and updating playbooks.
• Performance evaluation: Testing prototypes for accuracy, investigating root causes of issues, and tracking operational KPIs.

Required Technical Skills

• Technical Skills: Basic scripting or programming proficiency (Python, JavaScript, Go).
• AI Familiarity: Knowledge of prompt engineering, LLMs, and foundational machine learning concepts.
• Tools and Platforms: Familiarity with or interest in learning observability tools, cloud platforms or automation platforms.
• Soft Skills: Strong problem-solving, attention to detail, proactive "builder" mindset, and the ability to collaborate with cross-functional teams.

Education:

• Currently pursuing a degree in Computer Science, Data Science, AI, IT, or a related field.
• Prior experience with AI projects (personal, academic, or Kaggle competitions).

Wage ranges are based on various factors including the labor market, job type, and job level. Earnings for this position are expected to be $40 - $60/hr. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.