Remote Solutions Engineering Intern | US citizens only at Shakudo

California, United States

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Not SpecifiedCompensation

Internship, Entry Level & New GradExperience Level

InternshipJob Type

NoVisa

AI, DataIndustries

Requirements

U.S. Citizenship (required due to client requirements)
Actively enrolled or recently graduated in a CS, EECS, or related technical degree program (junior, senior, or recent grad); open to promising sophomores with strong coding skills
Strong Python and JavaScript skills – comfortable reading and working with both
Demonstrated ability to solve real problems – experience with platforms like LeetCode, HackerRank, or algo-heavy coursework
Ability to talk through code and explain how it works

Responsibilities

Write code and take on real client demos, tools, and POCs
Debug, prototype, and help design solutions using Python, SQL, and modern cloud tools
Actively present in client meetings and see how technical problems are solved in the wild
Work closely with senior engineers and technical sales to learn the full lifecycle of solution design
Support customers directly and learn how to act as a technical point of contact – from initial discovery through solution delivery
Figure out and ramp up on ML workflows, containerization (Docker, K8s), and modern infrastructure – fast

Skills

Key technologies and capabilities for this role

PythonSQLJavaScriptDockerKubernetes

Questions & Answers

Common questions about this position

Is this internship remote?

Yes, this is a fully remote internship with no office requirements.

What is the salary for this internship?

This information is not specified in the job description.

What skills are required for this Solutions Engineering Intern role?

Required skills include strong Python and JavaScript programming, problem-solving ability demonstrated through platforms like LeetCode or HackerRank, and communication skills to explain code.

What is the duration and structure of this internship?

This is a 4-month paid internship designed for CS students or recent grads, starting part-time during university and ramping up to full-time in the 2025 summer term.

Who is eligible to apply for this internship?

Eligibility requires U.S. citizenship, active enrollment or recent graduation in a CS, EECS, or related technical degree program (open to juniors, seniors, recent grads, or promising sophomores with strong coding skills).

Shakudo

End-to-end platform for AI projects

About Shakudo

Shakudo offers a platform designed to support organizations in developing and managing AI and data-intensive products. Their main product, the Hyperplane platform, facilitates the entire workflow of AI projects, from initial ideas to deployment. It automates the optimization of resources, helping teams select the best configurations without the need for complex setups. This makes it easier for data scientists and AI teams to focus on building and maintaining their models efficiently. Shakudo differentiates itself from competitors by providing a subscription-based service with tiered pricing, allowing organizations to choose the level of access that suits their needs. The goal of Shakudo is to simplify the AI development process, enabling organizations to implement their AI projects more quickly and reliably.

Toronto, CanadaHeadquarters

2021Year Founded

$9.8MTotal Funding

SERIES_ACompany Stage

Enterprise Software, AI & Machine LearningIndustries

11-50Employees

Risks

Increased competition from established AI platform providers like DataRobot.

Potential customer resistance due to learning curve and integration challenges.

Rapid AI advancements may outpace Shakudo's platform updates, risking obsolescence.

Differentiation

Shakudo offers a unique compatibility across best-of-breed data tools.

Their Hyperplane platform automates resource optimization for AI projects.

Shakudo provides DevOps-friendly GraphQL APIs for seamless AI solution interaction.

Upsides

Increased demand for AI model interpretability tools enhances Shakudo's platform.

Rise of AI model marketplaces boosts Hyperplane's user engagement and revenue.

Growing trend of federated learning aligns with Shakudo's data stack compatibility.

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