Machine Learning Technical Lead

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. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.
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 140,000 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 Tech Lead at Klaviyo, you will help 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 technical leader within the organization, helping to set the standard for excellence and amplifying your own impact by mentoring other team members on technical skills. You should have broad and in-depth experience 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

• Develop and execute comprehensive 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.
• Create AI engines or agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business and demonstrably outperform our human customers at Klaviyo.
• Introduce conversational AI interfaces into our software to make our customers more efficient users of our products.
• Build generative AI models that can automatically generate content for marketing given customer input on context, to maximize customer ROI or improve customers' productivity.
• Technically lead & coach a diverse team of AI professionals, including data scientists, machine learning engineers, and research scientists. Engage with external and internal stakeholders to understand their needs, translating these into AI-driven roadmaps and solutions that add significant value to customers and the business.
• Stay abreast of emerging AI trends and technologies, identifying and leveraging opportunities for their application within Klaviyo's ecosystem.

What we are looking for:

• Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 7+ years of experience in AI, machine learning, or related fields, with a track record of successfully leading large-scale AI / machine learning projects launched in products with a significant impact on users / customers.
• Experience with machine learning frameworks such as Huggingface, PyTorch, Tensorflow, Keras; Experience with distributed training with Spark, Ray, etc.
• Demonstrated technical leadership in leading high-performing engineering teams and mentoring junior machine learning engineers.
• Exceptional communication skills, capable of collaborating with stakeholders from various backgrounds to translate the business / product roadmap into AI-driven technical roadmaps & solutions and add significant value to customers and the business.
• Deep understanding of the latest AI technologies and their application in business contexts, including deep learning, recommendation systems, NLP, generative AI, or related areas.

Nice to have:

• Experience working in B2B businesses and interacting with customers directly
• Experience collaborating with Product organizations or other cross-functional organizations to develop machine learning solutions that impact the business.

Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The pay range for this role is listed below. Some sales and success roles are also eligible for variable compensation and hourly non-exempt roles are eligible for overtime in accordance with applicable law. This role is eligible for benefits, including: medical, dental and vision coverage, health savings accounts, flexible spending accounts, 401(k), flexible paid time off and company-paid holidays and a culture of learning that includes a learning allowance and access to a professional coaching service for all employees.
Base Pay Range For US Locations:
$248,000 - $372,000 USD
Get to Know Klaviyo
We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators-ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
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