TL;DR

Software Engineering Intern (AI): Developing and executing an exploratory project focused on future capabilities of AI operations and machine learning with an accent on statistical modeling and production-quality code. Focus on leveraging containers for deployment, enhancing core services like alerting and anomaly detection, and presenting findings to leadership.

Location: Hybrid. Role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. For most roles, that will mean coming into an office a minimum of 3 days per week; certain roles and/or teams may require more frequent in-office presence. Must be based in San Jose, United States and authorized to work in the US without requiring current or future sponsorship for an employment visa status, such as an F1, H1B, or TN visa.

Salary: USD $36–$60 per hour

Company

%hirify_global% Cloud Manager is a revenue-generating customer portfolio product team focused on AI ops, monitoring, observability, and machine learning for operations.

What you will do

Develop and execute an exploratory project focusing on future capabilities of AI operations and machine learning.
Produce production-quality code using Python and either Java or Golang, with an emphasis on statistical modeling.
Leverage knowledge of containers (Kubernetes, Docker) for deployment and management processes.
Engage actively in mentorship and collaboration with team members and document developed code.
Contribute to enhancing core services such as alerting, anomaly detection, and capacity planning within the %hirify_global% Cloud Manager portfolio.
Present findings and outcomes to leadership at the conclusion of the internship.

Requirements

Must be authorized to work in the US without requiring current or future sponsorship for an employment visa status, such as an F1, H1B, or TN visa.
Proficiency in programming languages such as Python and either Java or Golang.
Strong knowledge of container technologies, including Docker and Kubernetes.
Familiarity with machine learning, statistical modeling, and AI pipeline development.
Understanding of modern infrastructure concepts and practices.
Currently pursuing a degree in Computer Science, Engineering, or a related field.

Nice to have

Experience or coursework in distributed systems and operating systems.

Culture & Benefits

Structured Campus to Career program with training and mentorship, a hackathon, and leadership roundtables.
Plentiful opportunities for in-person learning, collaboration, and connection.
Competitive pay and Wellness Days.
Vibrant Employee Resource Group community.
Full range of medical, financial, and other benefits (including 401(k) eligibility and paid time off).

Hiring process

Application Screening to understand unique talents and skills.
Online Technical Assessment to review foundational coding skills.
Up to 3 Technical interviews with %hirify_global% engineers and leaders.
Final Decision and offers extended to finalists within 2 weeks of the technical interview.