Machine Learning Engineer I at Klaviyo in Palo Alto, CA

Summary: Klaviyo is a company that empowers creators to make first-party data accessible and actionable. As a Machine Learning Engineer I, you will work with a team to build models that extract insights from data and integrate AI into products, contributing to the development of high-impact ML systems. 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 - Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up Required Qualifications: - 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 Preferred Qualifications: - Experience collaborating with Product organizations or other cross-functional organizations to develop machine learning solutions - Experience with large-scale data processing tools including Spark Required Skills: Machine Learning, Deep Learning, Recommender Systems, Natural Language Processing, Generative AI, Python, PyTorch, Large-scale Data Processing, Spark Benefits: Participation in the company’s annual cash bonus plan, Variable compensation (OTE) for sales and customer success roles, Equity, Sign-on payments, A comprehensive range of health, welfare, and wellbeing benefits based on eligibility