Co-op – AI / Machine Learning Engineering

United Statesmid

EngineeringData Science

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Quick Summary

Key Responsibilities

Assist in building and maintaining ML pipelines, including data preparation, feature engineering, model training, and deployment.

Requirements Summary

Currently pursuing a Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field . Working knowledge of Python; exposure to C++, Rust,

Technical Tools

EngineeringData Science

At Wasabi, we’re a proven collection of pioneers, visionaries and disruptive doers. We see things differently than our competitors, and we make our mark in the industry by challenging the norm and delivering the unexpected and improbable. We’re a fast-growing company taking the Cloud Storage industry by storm and recognized as one of the best places to work in Boston.

Wasabi hot cloud storage is a new class and category of cloud storage, breaking all traditional barriers and boundaries of storage with a disruptive value proposition of being 1/5th the cost of AWS S3, faster than the competition, with no fees for egress or API requests. Cloud storage has never been so simple, so fast and so inexpensive. It’s all part of our vision to make cloud storage the next great global utility, just like electricity.

Responsibilities

~2 min read

→Currently pursuing a Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
→Working knowledge of Python; exposure to C++, Rust, or Go is a plus but not required.
→Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn through coursework, research, or personal projects.
→Exposure to tools like Git, Docker, or cloud platforms (AWS, GCP, or Azure) is helpful but not required.
→Interest in learning how to deploy and monitor ML models in real-world environments.
→Strong problem-solving skills and the ability to communicate and collaborate in a team setting.
→The co-op must be enrolled in classes in the United States and must live in the United States.

Base Salary – $32 per hour.

The base salary range reflects the full range for this position at Wasabi Technologies. At Wasabi, we believe in paying fairly and competitively, and individual compensation is determined based on factors such as job-related experience, skills, location, and internal equity. Base pay is just one part of our total rewards approach. Depending on role eligibility, Wasabi team members may also receive additional compensation and benefits, including bonus or variable compensation, equity, and a comprehensive benefits package designed to support both professional growth and personal well-being.

Wasabi Technologies is an Equal Opportunity Employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.