Senior Machine Learning Platform Engineer

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 cl...

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 167,000 custo...

As a Senior Machine Learning Platform Engineer, you will help build the core platforms, tools, and infrastructure that ML and AI engineers rely on to create advanced agents and models powering Klaviyo’s products. You will drive key technical initiatives for training and deploying models, unifying and standardizing f...

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.
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.
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.
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.