Senior Machine Learning Engineer

About the role

Klaviyo is hiring a Senior Machine Learning Engineer in Palo Alto, CA, working onsite five days a week. The role builds models that extract insights from continuously ingested data and applies deep learning, recommender systems, and language modeling to customer-facing products. You will work closely with Engineering, Product, and Design and engage directly with stakeholders and customers.

Responsibilities

• Train and deploy large-scale machine learning models in production to improve customer value.
• Create AI engines and agents that automatically create and execute marketing and customer experiences, strategies, and campaigns, with the goal of demonstrably outperforming human customers.
• Introduce conversational AI interfaces that help customers use Klaviyo products more efficiently.
• Build generative AI models that create marketing content from customer-provided context to maximize ROI or improve productivity.
• Dive into product functionality and code to develop technical solutions.
• Work in a high-impact environment with rapid experimentation and product development cycles.

Qualifications

• Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• At least five years of experience in AI, machine learning, or related fields, including successfully leading large-scale projects launched in products with significant customer impact.
• Experience with machine learning frameworks such as Hugging Face, PyTorch, TensorFlow, and Keras, and distributed training with tools such as Spark and Ray.
• Experience leading technical projects and collaborating with engineering teams and product managers to deliver customer-facing features.
• Experience developing, deploying, owning, and maintaining production machine learning models over the long term.
• Experience owning the full ML product lifecycle, including defining success metrics, designing and analyzing A/B tests, and iterating on results.
• Experience mentoring others.

Preferred qualifications

• Experience designing, training, and deploying recommendation models and building retrieval and ranking systems.
• Experience in B2B businesses and direct customer interaction.
• Experience developing technical roadmaps to solve complex business problems using machine learning.
• Experience fine-tuning and productionizing transformer-based models at scale, particularly large language models.

Compensation and benefits

• Annual US base salary range: $196,000–$294,000 USD. Actual pay depends on relevant skills, experience, education or training, and work location.
• Total compensation may include an annual cash bonus, equity, sign-on payments, and health, welfare, and wellbeing benefits, subject to eligibility.

Travel

Up to 10% travel may be required for onboarding, client or partner work, team meetings, and industry events. Travel is coordinated in advance.

Application and interview information

• Candidates who are close but not exact matches are encouraged to apply.
• Interview participants must read and adhere to Klaviyo's Guidelines for Using AI in the Interview Process.
• Responsible AI use includes privacy, security, bias awareness, and human oversight. Accommodations are available as needed.
• Submitting an application consents to personal data processing under Klaviyo's Job Applicant Privacy Notice.
• Klaviyo will never request payment, bank details, or personal financial information during the application process. Legitimate postings appear on its official careers site; candidates should be cautious of unsolicited outreach and non-company email addresses.
• Massachusetts applicants: requiring or administering a lie detector test as a condition of employment or continued employment is unlawful.