Senior Machine Learning Ops Engineer, Klaviyo
$156.8-235.2k
This role is also open to higher level candidates with an adjusted compensation range. Compensation is commensurate with experience.
3+ days a week in office
The autonomous B2C CRM
Job no longer available
The autonomous B2C CRM
1001+ employees
Job no longer available
$156.8-235.2k
This role is also open to higher level candidates with an adjusted compensation range. Compensation is commensurate with experience.
3+ days a week in office
1001+ employees
Company mission
Klaviyo is the only autonomous CRM built for B2C brands. Powered by its built-in data platform and AI insights, Klaviyo combines marketing automation, analytics, and customer service into one unified solution, making it easy for businesses to know their customers and grow faster.
Role
Who you are
- 4+ years industry experience in ML Ops or related spaces like data, infrastructure or platform engineering
- Hands-on experience in shipping, monitoring, and debugging machine learning-based projects in production
- Strong software engineering and cloud infrastructure skills with code fluency in Python (we use Python, Terraform and Kubernetes on AWS)
- An excellent communicator and able to collaborate on complex issues with a variety of stakeholders, especially with data scientists
- Proven experience with being a coach/mentor for team members and helping them grow
Desirable
- Experience with large-scale data processing tools like Spark, Flink, Hive, Beam
- Experience with CICD using tools like Jenkins
- Experience with MLOps frameworks like Ray, Kserve, Kubeflow
- Experience working with GPU workloads
- Experience contributing to open source projects
What the job involves
- As a Senior Machine Learning Engineer, you will be a key contributor to the DS Platform team’s efforts to build and improve the tools, systems, and software services that data scientists depend on to create cutting edge models that power Klaviyo’s most advanced features
- You will be responsible for developing tools to train and develop models, serve models in production, and monitor models’ long term performance
- You’ll work with a modern software stack built on Kubernetes, Sagemaker, MLFLow, Spark and Ray, helping to support models running on technologies such as PyTorch, ScikitLearn, Huggingface and more
- As a senior team member you will help to level up our software engineering, dev ops, and DS/ML skills in a collaborative hybrid environment surrounded by engineers and data scientists passionate about producing high quality and high value models
- 30 days:
- You spend the first two weeks in Klaviyo boot camp learning about the company and using the product
- Your onboarding buddy and the team help you get contributing your first PR!
- You are participating in team meetings and processes and meeting key stakeholders from Data Science & Engineering teams
- 60 days:
- You own and ship your first feature contribution!
- You develop a career plan and personal goals with your manager
- You have a firm understanding of at least one of the systems that the team owns and are consistently contributing code
- You are actively reviewing teammates’ code and helping them improve their engineering quality
- You understand the team’s vision and roadmap
- 90 days:
- You own and ship multiple feature contributions. You are shipping code independently
- You are familiar with all of the team’s systems and have joined the team’s on-call rotation
- You are actively reviewing teammates’ work and beginning to mentor other team members
- You are contributing to roadmap planning, improving team processes and collaborating with Product and stakeholder teams on design
- Up to 1 year:
- You successfully lead multiple high impact projects that significantly improve the functionality and scalability of systems owned by Data Science Platform
- You provide mentorship and help the team improve engineering quality, system stability, and reliability
Our take
Klaviyo is a marketing firm helping growth-focused eCommerce brands drive more sales with super-targeted, highly relevant email, Facebook and Instagram marketing campaigns. From personalised newsletters to automated emails when customers abandon their shopping carts, the marketing automation platform makes it easy for businesses to capture, store, analyze, and predictively use their own data to drive measurable, high-value outcomes.
Klaviyo's CEO, Bialecki, believes that the main problem with e-mail marketing today is that there is a divide between two kinds of tools: analytics tools that help you understand what people are doing on a website, such as what products they are considering, and messaging tools that send them a marketing e-mail. Operating primarily within the retail and eCommerce industry, Klaviyo aims to solve this by offering a tool that brings together analytics and messaging. This allows companies to bring all of their first-party data into a single platform to get a deep understanding of their customers and then activate that data to deliver highly-targeted, personalised communications through email and SMS. In the process, Klaviyo's customers get a deep understanding of their consumers.
Klaviyo is a fast-growing company mainly due to its business model - the firm offers a concrete ROI for Klaviyo’s clients if the software persuades customers to make purchases by treating different types of customers differently. An IPO in 2023 has led to Klaviyo's release of Klaviyo AI, which empowers businesses to unlock revenue-driving opportunities and deliver exceptional customer experiences across channels. Still in its early days of public listing, it will be interesting to see how Klaviyo fares in the years to come.
Freddie
Company Specialist at Welcome to the Jungle
Meet the team
Devin Bhatia, Customer Success Manager
Our mission
Create exceptional customer experiences by providing immediate and long-lasting value, while empowering creators to own their growth.Insights
4% employee growth in 12 months
Company
Employee endorsements
Opportunities to learn
"Not only we have a good stipend to spend on learning but we also have development days every quarter, where we can switch off and focus on the areas..."
Company benefits
- Private medical insurance
- Medical
- Dental
- Vision
- Lifestyle spending account
- Commuter benefits
- Modern Health - wellness platform
- Parental leave
- Company equity
- Employee stock purchase plan
- Mental health benefits
- Health savings account (HSA)
- Flexible spending accounts (FSAs)
- Employee assistance program (EAP)
- 401(k) plan with company match
- Flexible paid time off (FPTO)
- 13 company holidays
- Paid parental bonding leave
Company values
- Put customers first: 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.
- Win together: 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 1% done: 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.
- Know the score: 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.
- Be meticulous in your craft: 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.
- Move fast, no shortcuts: 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.
- Drivers wanted: 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.
- Stay hungry, stay humble: 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.
Company HQ
Dublin, Republic of Ireland
Articles
Leadership
Andrew Bialecki
(Founder and Co-CEO)Co-founder and Co-CEO. Previously CTO at RockTech, Senior Engineer at Performable, Lead Engineer at Applied Predictive Technologies and an SDET Intern at Microsoft
Ed Hallen
(Chief Strategy Officer)Co-founder and currently our Chief Strategy Officer. Previously worked in Enterprise Business Development at Google, Summer Associate at Accel-KKR and Principal at Applied Predictive Technologies.
Chano Fernandez
(Co-CEO)Chano serves as the co-CEO, leading all go-to-market functions at Klaviyo. He previously led organizations at SAP, Workday, and Eightfold.
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