AI / Machine Learning Engineering Co-op, Wasabi
$32 per hour
Cloud storage company
Be an early applicant
Cloud storage company
501-1000 employees
Be an early applicant
$32 per hour
501-1000 employees
Company mission
To empower individuals and organizations to harness the power of their data through innovative cloud storage solutions.
Role
Who you are
- 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
What the job involves
- Wasabi is seeking an AI Engineer to help build and scale our Enterprise AI Platform. This platform will be the foundation that enables AI assistants, agents, and AI-powered applications across Wasabi’s business functions. In this role, you’ll be a hands-on engineer who can translate business needs into concrete AI solution designs, implement core platform and application components, and drive solutions into production with measurable impact
- You’ll operate at the intersection of AI innovation, software engineering, and business operations. You will partner closely with stakeholders across Sales, Marketing, Finance, HR, Legal, Customer Support, and IT to deliver secure, reliable, and scalable AI capabilities that elevate productivity and decision-making across the company
- Assist in building and maintaining ML pipelines, including data preparation, feature engineering, model training, and deployment
- Support model packaging and API integration using tools such as Python, Docker, and ML frameworks (PyTorch, TensorFlow, or scikit-learn)
- Help monitor model performance, latency, and data drift, and contribute to testing and validation workflows
- Participate in CI/CD processes, code review, and documentation to ensure reliable and maintainable AI services
- Collaborate with engineers, data scientists, and product teams to translate business. requirements into scalable ML solutions
Our take
The cloud storage revolution is accelerating, and more companies want to make use of its services. But for some, the options out there may be unappealingly complex to implement, or simply beyond their financial reach. Wasabi Technologies supplies quick, reliable, and affordable cloud storage, so that more companies can make the most of the cloud.
Wasabi was founded in 2015 in hopes to make cloud data storage cheaper, as well as faster and simpler. The company provides Hot Cloud Storage, a one size fits all storage technology that is significantly cheaper than competitor alternatives. With its solution, users can affordably store near infinite amounts of data in a manner which is simple to access and easy to manage.
Wasabi Technologies has an impressive number of customers and partners globally and has raised substantial funding over the years. The latest investment is being used to to accelerate Wasabi’s expansion into AI infrastructure, as well as growing its footprint and product portfolio.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 9 rounds)
Jan 2026
$70m
LATE VC
Oct 2025
$32.5m
LATE VC
Total funding: $429.2m
Company benefits
- Remote First
- Health Insurance
- Vacation & Time Off
- Financial Benefits & Retirement
- Parental Leave
- Professional Development
Company HQ
Prudential / St. Botolph, Boston, MA
Leadership
David Friend
(President & CEO, Co-founder)Active investor, and board member at several business. Co-founder and former CEO of Carbonite. Previously co-founded 5 other companies.
Jeff Flowers
(CTO & Co-founder)Co-founder and former CTO of Carbonite, of Sonexis and of FaxNet. Co-Founder and former CEO of Storiant. Previous experience as VP of Engineering.
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