Senior Machine Learning Platform Engineer

About Klaviyo Klaviyo (NYSE: KVYO) is the autonomous B2C CRM. Powered by its built-in data platform and AI, Klaviyo combines marketing automation, analytics, and customer service into one unified solution, making it easy for businesses to know their customers and grow faster. Klaviyo (CLAY-vee-oh) helps over 193,000 brands like Mattel, Glossier, Daily Harvest, and Liquid Death deliver 1:1 experiences at scale, improve efficiency, and drive revenue.

Klaviyo

Klaviyo is the autonomous CRM for B2C brands, built to turn what you know about your customers into real growth.

K

klaviyo.com

1,001-5,000 employees

Marketing Services

Boston, Massachusetts

2012

Public Company

179k LinkedIn followers

Raised $1.3B

• Enable AI / ML teams across Klaviyo to ship new models and ML-powered features faster, more safely, and more reliably.
• Evolve our ML and LLM platform architecture so teams can build, evaluate, and operate production ML systems with consistent patterns and best practices.
• Improve reliability, observability, and cost efficiency of ML training, inference, and other ML workloads that serve features like smart send time, audience optimization and product recommendations.
• Raise the bar on engineering and operational excellence for systems that support 167K+ customers and billions of events.
• Architect and scale systems supporting feature storage and real-time retrieval for training and inference datasets
• Work closely with AI & ML application teams to design seamless workflows for continuous model training, inference, and monitoring
• Lead technical execution, conduct code and design reviews, and author high-impact code for critical system paths.
• Mentor engineers across the organization, promoting engineering excellence, best practices, and strong design standards.
• Drive architectural design and technical direction for core components of the ML and Feature platforms.
• Partner with product and engineering leaders to define the ML Platform roadmap.
• Learn more about the team’s work in our blogs on Ray Jobs & Ray Tune.

• We encourage candidates to apply even if they do not meet all the qualifications listed. ML Platform and MLOps are rapidly evolving spaces and we are all constantly learning.
• 7+ years of experience as a software engineer, ML platform engineer, or similar, building backend or distributed systems.
• Demonstrated experience designing and launching AI/ML systems in production at scale
• Strong proficiency in Python (or a similar backend language such as Go, Java, or Scala).
• Experience with cloud infrastructure and platform fundamentals (AWS, kubernetes)
• Familiarity with data-intensive systems: streaming or batch processing, data modeling, and designing systems with large-scale data in mind (spark, ray-data).
• Comfortable collaborating with cross-functional technical partners (ML, product, infra, security).
• Strong communication skills and a track record of driving technical excellence across teams.
• What to Expect in Your First 90 Days
• 30 Days
• Complete Klaviyo boot camp and onboarding for the AI & Analytics organization.
• Build strong context on our AI/ML stack, platform components, and roadmap.
• Meet your team, engineering peers, and key stakeholders across product, ML, infra, and security.
• Onboard to existing technical workstreams and gain familiarity with production ML deployment pipelines.
• Deliver high-impact architectural enhancements or core features across the ML Platform end-to-end.
• Conduct deep technical dives into platform architecture and mentor peers through detailed code and design reviews.
• Partner with staff/principal engineers and product leaders to establish technical standards and design patterns for feature platform components.
• Partner with product and technical leaders to shape the next 2–3 quarters of roadmap at a high level.
• Own accountability for delivery, reliability, and operational health of key ML Platform systems in your area.
• Have multiple features or platform capabilities shipped that are in active use by ML/AI product teams.
• Participate fully in on-call and incident management for your team’s services.
• Contribute to broader AI/ML strategy and platform direction, influencing how Klaviyo builds and operates models at scale.
• 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.
• Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
• In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
• Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
• Base Pay Range For US Locations
• $148,000—$222,000 USD
• This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
• 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.
• AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
• IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.

• Health Insurance
• Equity
• Annual Cash Bonus Plan
• Wellbeing Benefits