Machine Learning Engineer Internship-Summer 2027

Klaviyo Campus; Palo Alto (CA); On-site; USD 55,000 - 75,000; Full time

Benefits offered by this job

Lunch provided

Free snacks and drinks

Onsite internship in Palo Alto

Job summary

Klaviyo invites applications for a Summer Machine Learning Engineer Internship in Palo Alto, CA. You’ll join a team of ML and Full-stack engineers to build models extracting insights from large data streams and apply deep learning, NLP, and recommender system techniques to enhance our product.

You will contribute to model development, deploy scalable solutions, and learn from senior engineers while working on high-impact projects in a collaborative, campus-like environment.

Qualifications

• Foundational knowledge in ML or data science, deep learning, recommender systems, NLP, generative AI.
• Ability to code in Python and use ML frameworks like PyTorch.
• Internship experience in AI/ML or related fields preferred.
• Strong communication and collaboration with stakeholders.

Responsibilities

• Build ML systems with ownership over model development, deployment, and scale.
• Contribute to modeling, system design and implementation decisions.
• Develop technical strategies aligned with business goals and AI/ML platform reliability.
• Collaborate with internal stakeholders to understand needs and unblock work.
• Improve engineering processes including recruiting, performance development, and agile practices.
• Stay updated on AI trends and apply them to Klaviyo’s ecosystem.
• Plan projects, define milestones, and identify dependencies to meet goals.

Skills

Python

PyTorch

Large-scale data

Education

PhD preferred in CS/AI

Tools

Spark

Job description

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying.

At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We’ve built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 200,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.

As a Machine Learning Engineer Intern at Klaviyo, you will work with a team of Machine Learning and Full-stack engineers to build models that extract insights from the massive streams of data that Klaviyo ingests continuously. You will apply cutting-edge techniques from deep learning, language modeling, recommender systems, and more to integrate artificial intelligence into our product and bring customers value. You will be a contributing member of the team, learning from experienced engineers and helping to set the standard for excellence. You should have foundational knowledge in machine learning or data science, especially in the domain of deep learning, recommender systems, NLP, generative AI, or related areas.

Things you’ll do & make a difference

• 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.

What we are looking for:

Pursuing an advanced degree Phd preferred in Computer Science, Artificial Intelligence, Machine Learning, or a related field, Graduating in December 2027 or May/June 2028

• 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.
• 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.

Nice to have:

• Experience with large-scale data processing tools including Spark

Internship logistics

• 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.

Get to Know Klaviyo

We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.

AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.

Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.

IMPORTANT NOTICE

Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.

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.

Base Pay Range For US Locations:

$65 — $65 USD

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.

Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.

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.

You can find our Job Applicant Privacy Notice here.

By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.