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Klaviyo is seeking a Senior Machine Learning Engineer to help build state-of-the-art AI and ML technologies that power their customer engagement platform. The company serves over 200,000 customers and processes billions of consumer profiles and hundreds of billions of customer messages and conversion data.
In this role, you will train and deploy large-scale machine learning models in production systems to improve product value for customers. Key responsibilities include creating AI engines and agents that automatically generate and execute marketing campaigns, introducing conversational AI interfaces to improve user efficiency, and building generative AI models for content creation. You'll work across Engineering, Product, and Design teams to solve complex problems while maintaining fast experimentation and product development cycles.
You'll own the full ML product lifecycle—from defining success metrics and designing A/B tests to iterating based on results and maintaining models long-term in production. The role involves mentoring others and working directly with stakeholders and customers to understand their needs.
Required qualifications include an advanced degree in Computer Science, AI, Machine Learning, or related field, plus 5+ years of experience successfully leading large-scale AI/ML projects with measurable customer impact. You should have hands-on experience with ML frameworks (Huggingface, PyTorch, TensorFlow, Keras), distributed training systems (Spark, Ray), and a proven track record of shipping production ML systems. Experience leading technical projects, designing A/B tests, and mentoring engineers is essential.
Nice-to-have skills include recommendation systems expertise, B2B business experience with direct customer interaction, technical roadmap development for ML-driven solutions, and experience fine-tuning and productionizing large language models at scale. The position requires 5 days per week onsite in Palo Alto.
