AI Intern

Job Description

“`html

Job Title: AI Intern

About the Company: Armada

Armada is an innovative edge computing startup dedicated to providing crucial computing infrastructure to underserved areas. We specialize in deploying technology in remote locations with limited connectivity and cloud access, as well as in environments where real-time analytics and AI at the edge necessitate local data processing. Our core mission is to bridge the digital divide by developing and rapidly deploying advanced technology infrastructure anywhere it’s needed. We are actively seeking brilliant minds to join our mission and contribute to our groundbreaking work.

About the Role: AI Intern

We are looking for a highly motivated AI Intern to join our dynamic AI/ML team. This role offers an exciting opportunity to contribute to cutting-edge projects in the fields of artificial intelligence and machine learning within a fast-paced, entrepreneurial environment.

Location: This is an On-site position at our office in Bellevue, Washington.

What You’ll Do (Key Responsibilities):

• Assist in the full lifecycle of machine learning models, including building, training, and fine-tuning.
• Conduct comprehensive research on emerging AI trends, tools, and techniques to keep our solutions at the forefront of innovation.
• Engage in critical data tasks, including data preprocessing, cleaning, and feature engineering, working with large and complex datasets.
• Systematically optimize and evaluate model performance using a variety of industry-standard metrics.
• Provide essential support to AI team members in the deployment and integration of models into various applications.
• Develop clear and concise documentation for scripts, workflows, and processes to ensure maintainability and knowledge sharing.
• Collaborate effectively with cross-functional teams, including data engineers and software developers, to achieve project goals.
• Continuously stay updated on the latest AI advancements and research papers, contributing to a culture of continuous learning.

Required Qualifications:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a closely related quantitative field.
• Familiarity with prominent programming languages such as Python, R, or Java.
• Practical knowledge of key AI/ML frameworks, including TensorFlow, PyTorch, or Scikit-learn.
• Demonstrable experience with data manipulation tools like Pandas, NumPy, and SQL.
• An understanding of specialized AI domains such as deep learning, Natural Language Processing (NLP), or computer vision is a significant plus.
• Possesses strong problem-solving and analytical skills, with the ability to tackle complex challenges.
• Capable of working both independently and collaboratively within a team-oriented environment.

Compensation:

$30 USD per hour

You’re a Great Fit If You’re:

• A go-getter with a growth mindset: Intellectually curious, possessing strong business acumen, and proactively seeking opportunities for skill and knowledge development.
• A detail-oriented problem-solver: Able to independently gather information, efficiently solve problems, and deliver results with a “get-it-done” attitude.
• Thriving in a fast-paced environment: Energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute significantly to a growing company.
• A collaborative team player: Focused on overall business success and motivated by team accomplishments over personal agendas.
• Highly organized and results-driven: Demonstrates strong prioritization skills and a dedicated work ethic.

Equal Opportunity Statement:

At Armada, we are deeply committed to fostering an inclusive work environment where every individual is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit any form of discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This comprehensive policy applies to all employment decisions, including but not limited to hiring, promotions, and compensation. Our recruitment and employment practices are solely guided by qualifications, merit, and the business needs at the time.

“`