Machine Learning Engineer I

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 167,000  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 I 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.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Who you are:

Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• 0-2 years of experience in AI, machine learning, or related fields, with a strong interest in building and deploying machine learning projects.
• Good communication skills, capable of collaborating with team members and learning from stakeholders.
• Foundational understanding through prior roles, 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. 
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. 

Nice to have:

• Experience collaborating with Product organizations or other cross-functional organizations to develop machine learning solutions.
• Experience with large-scale data processing tools including Spark

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

 

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 a