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Machine Learning Engineer II
Machine Learning Engineer IIKlaviyo Inc. • San Francisco, CA, United States
Machine Learning Engineer II

Machine Learning Engineer II

Klaviyo Inc. • San Francisco, CA, United States
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We’re not just creating software—we’re empowering 169,000+ businesses to grow on their own terms. And we’re seeking driven, curious people to help us build the future of B2C engagement.

You’ll do challenging, meaningful work — pushing boundaries, driving growth, and creating lasting impact.

You’ll work with ambitious, bold peers — bar-raisers who inspire each other and do work people rave about

You’ll work on an inspiring mission — empowering creators to own their destiny.

The values that define how we work, shape our culture, and drive impact

We prioritize our customers >

customers’ customers >

team >

ourselves.

We empathize deeply with our customers by walking in their shoes and solving their greatest pain points.

We start with what’s best for the customer, not what’s best for us, and work backwards, delivering experiences our customers will talk about.

We’re one team, we get to know each other, we’re okay with conflict and willing to disagree and commit.

We are honest, direct, transparent, and respectful.

We seek and incorporate diverse perspectives and assume good intent.

We’re clear about what success is for each project and how it ladders to our overall success.

Results are what matter. Working hard is required, but it’s not success.

We use data and past performance to motivate our future strategy.

We seek to do work so good that people rave about it.

We are rigorous, thorough and prepared.

We are or expect to be the experts everyone in the world turns to.

Speed matters. We set ambitious deadlines, we like short cycles and being first to market.

We don’t skip critical steps or requirements to make a date.

We’re comfortable living in the grey and making judgment calls to decide what’s required and what’s not.

No passengers — we’re proactive and engaged, and if we see something wrong it’s our responsibility to fix it or raise the issue to its owner.

Have a vision and make sure it’s compelling.

No job is beneath us. If it needs to get done, we’re happy to pick it up.

We use and spend resources like they’re our own.

We are insatiably curious learners; our slopes are very high. If we don’t know something, we’re world- class at figuring it out.

We take calculated risks and sometimes make mistakes — we’re not perfect. When we fail, we learn from it and improve going forward.

Feedback is a gift, even if it hurts sometimes.

We don’t tolerate brilliant jerks.

We’re just getting started – our greatest products, work, and achievements are in front of us.

We have a beginner’s mindset – we see the opportunities to build and improve and have the ambition to go after them.

We benchmark against the best, aim to beat them, and celebrate when we do.

of Klaviyos participate in at least one Klaviyo Resource Group (KRG)

hours volunteered by 700+ Klaviyos in2024

Global team for a global customer base

Supporting over 169,000 customers worldwide, our teams are distributed around regional hubs where we come together to help consumer brands know their customers better and grow faster.

Sydney, AU

Dublin, IE

We invest in our people

Diversity and inclusion

With a customer base as diverse as the world, we know the best ideas come from different perspectives and experiences. Diversity, equity and inclusion are intentionally woven into how we build our teams, serve our customers, and create great products.

Kickstart your career

Whether you’re an aspiring software engineer or data scientist, want to build your sales and customer success skills, are interested in product design, or love to geek out on numbers for a future in finance, our paid summer internship program in our Boston headquarters is a great place to power your career.

Graduating between December 2026 and June 2027? Check back in September 2025 to learn more!

What does “Klaviyo” mean anyway?

Learn more about our name, our leaders, and our company.

#J-18808-Ljbffr

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Machine Learning Engineer • San Francisco, CA, United States

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