Machine Learning Engineer Internship-Summer 2027

Engg; Palo Alto (CA); On-site; USD 34,440,000 - 48,216,000; Full time

Benefits offered by this job

Paid internship

On-site in Palo Alto

Lunch provided daily

Snacks and drinks

Job summary

Klaviyo in Palo Alto, CA offers a Summer Machine Learning Internship where you’ll work with ML and full-stack engineers to build models that extract insights from massive data streams and deliver customer value.

You’ll apply techniques from deep learning, NLP, and recommender systems to integrate AI into our product, learning from experienced engineers and contributing to high‑quality AI/ML platforms.

Qualifications

• Pursuing an advanced degree; PhD preferred in CS/AI, graduating Dec 2027 or May/June 2028.
• Previous internship experience in AI/ML or related fields with strong interest in building and deploying ML projects.
• Familiar with large-scale data processing techniques.
• Good communication skills and ability to collaborate with team members and stakeholders.
• Foundation in AI technologies: deep learning, recommender systems, NLP, generative AI, or related areas.
• Ability to code in Python and use ML tools like PyTorch.

Responsibilities

• Build high-impact ML systems with ownership of development, deployment and scale.
• Contribute to modeling, system design and implementation decisions.
• Contribute to development and execution of technical strategies aligned with business goals.
• Engage with internal stakeholders to understand needs and resolve blockers.
• Learn and improve engineering processes and agile development practices.
• Stay updated on AI trends and apply them within Klaviyo.

Skills

Python

PyTorch

Machine Learning

Deep Learning

NLP

Education

PhD preferred in Computer Science/AI

Tools

PyTorch

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 each 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.

We interview and hire on a rolling basis.

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. Base Pay Range For US L