Klaviyocampus Machine Learning Engineer Internship at Klaviyo focused on building ML models and systems to extract insights from large data streams. Interns contribute to model development, deployment, and AI integration into products.
Responsibilities
Build high-impact ML systems, tackling challenges such as model development, deployment, and scale, with direct ownership of high impact systems.
Contribute to the modeling & system design and implementation decisions.
Contribute to the development and execution of technical strategies that align with Klaviyo's business goals, ensuring products are not only exceptional but also aligned with the broader vision for a reliable and user-friendly AI/ML platform.
Engage with internal stakeholders to understand their needs and resolve blockers.
Learn and improve upon engineering-wide processes like recruiting, performance development, communication, and agile development.
Stay abreast of emerging AI trends and technologies, identifying and leveraging opportunities for their application within Klaviyo’s ecosystem.
Work with the team on project planning and defining achievements, identifying dependencies, and meeting business goals.
Previous internship experience in AI, machine learning, or related fields, with a strong interest in building and deploying machine learning projects. Familiar with large-scale data processing techniques.
Qualification
Good communication skillsBefore joining individual teamsLunch is on us 5 days a weekThroughout the summerApply before October 7 if you canInternship logisticsMassachusetts ApplicantsIn addition to base salary
Required
Good communication skills, capable of collaborating with team members and learning from stakeholders.
Foundational understanding through prior internships and projects of AI technologies and their application in business contexts, including deep learning, recommendation systems, NLP, generative AI, or related areas.
Ability to code in Python and use standard ML technologies such as PyTorch.
Experience with large-scale data processing tools including Spark
Our Summer Machine Learning Internship Program is an 11-week paid experience [June 1–August 13] at our Palo Alto, CA Tech Innovation Hub. Interns are in office 5 days a week.
Before joining individual teams, all interns go through Klaviyo Base Camp, our onboarding experience built to get you up to speed on Klaviyo, our product, and the day-to-day of engineering here, plus time to get to know the other interns. You'll join your team ready to dive into real project work from day one.
Lunch is on us 5 days a week, along with free snacks and drinks.
Throughout the summer, interns get together for social events beyond team and project work: game nights, ice cream socials, and Ask Me Anything sessions with Klaviyo's senior leadership.
Apply before October 7 if you can. We interview and hire on a rolling basis.
Preferred
Internship logistics
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.