Machine Learning Engineer

Join us in creating the most fun dating app in the world 🫶

Smitten is a gamified dating app that gets you into better conversations.
We believe work should be fun, and you should be excited to get to work on Mondays. Our attitude towards work is why we got elected Iceland’s Greatest Place to Work in 2024.

If you are the kind of person who can’t help but make everyday things more fun, competitive, or interesting, we may be looking for you.

Smitten is pioneering a new era in how single people lead their lives. We are on a mission to create a happier world, bringing happy daters together with a fun and creative approach to online dating.

While talent is a close second, we hire for who you are first. That means your values, your personality, and how you contribute to a supportive, collaborative team culture. We believe the key to success is how we communicate with each other and with our users. Communication is a huge part of both our company culture and our product. We’ll support you in becoming exceptional at giving and receiving feedback, taking ownership, and building real trust with your teammates.

You may be a team fit if you:
– Have a deep passion for your work
– Have a driver’s mentality
– Are confident in your skillset
– Are humble enough to know you still have a lot to learn
– Want to become better in people skills
– Have an extraordinarily high standard to do a good job
– Have an entrepreneurial mindset
– Believe life and work should be an amazing, fun experience

We’re looking for a curious and driven Machine Learning Engineer

…to turn data into smarter, more personal dating experiences. You’ll build systems that predict people’s behaviour better, powering the recommendations and personalization that make Smitten feel unique to every user.

You’ll work across modeling, data pipelines, and deployment, transforming insights into real features. Collaborating with product, growth, and data, you’ll bring ML into the heart of the user experience.

Whether you’re improving the feed algorithm, refining how we match people, or testing new ways to predict engagement, your work will shape how millions connect on Smitten. You love experimenting, building, productionizing, and seeing ML make a real difference in people’s lives.

Within one month, you will have:
– Understood Smitten’s tech stack and delivered a roadmap for ML infrastructure and personalization improvements
– Begun automating retraining, evaluation, and deployment for one production model with monitoring in place
– Defined personalization and retention KPIs with product and engineering

Within three months, you will have:
– Deployed a maintainable MLOps framework for retraining, versioning, and monitoring across key products
– Scoped and prototyped improvements to the feed algorithm for a more dynamic, responsive experience

Within six months, you will have:
– Evolved personalization into a Retention Engine, integrating churn modeling and adaptive notifications
– Rolled out LTV prediction models to identify high-value users and guide offers or upsells
– Linked model outputs to measurable DAU/WAU and monetization gains with product and growth

Within a year, you will have:
Delivered advanced LTV and ARPPU models as part of cohort-based personalization systems
Strengthened Smitten’s culture of applied data science; driving fast iteration, measurable impact, and production-first thinking

We might be a match if you have:
– Proven experience building, deploying, and maintaining ML models in production – ideally within consumer-facing or data-heavy products
– Strong proficiency in Python and SQL, with hands-on experience designing APIs, pipelines, and CI/CD workflows for model deployment
– Deep familiarity with modern ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) and the ability to choose the right tool for the problem
– Experience designing scalable MLOps systems, including retraining, monitoring, and feature management
– Practical understanding of recommendation systems, personalization, churn prediction, and similar user-behavior modeling problems
– Strong foundation in data science and statistics, including experiment design, causal inference, and interpretation of model results
– Proven ability to work in cloud-native environments (AWS, GCP, or similar), designing scalable ML and data systems
– Experience with data modeling tools such as dbt, or SQLmesh
– Ability to translate model outcomes into user or product impact, collaborating cross-functionally
– Familiarity with analytics and visualization platforms (Metabase, Tableau, or similar)

Last but not least – Perks, Comps & Benefits
We are a team of ambitious, highly motivated, and driven people who love their work. We need people who share our vision for work and ethics to become a global dominator in the dating space! You will significantly impact our culture and the company’s future!

We believe work should be fun, and it should support and even supercharge your personal and professional growth. To commit to that, we offer you a stock option plan, giving you a tangible share in our joint success. In addition to that, we offer many perks and benefits. You will, of course, get the necessary gadgets to do your work, such as a new phone, computer, noise-canceling headphones, etc. We provide lunch, drinks, and snacks at the office.

We thrive on the energy at our office and believe that being physically present sparks creativity and makes us move faster. The office is not just where we work; it’s where we share ideas, laughter, and the excitement of building something incredible. However, we value flexibility. So if you occasionally want to take a focus day at home, work from your favourite coffee shop, or even from a beach in Tenerife, we encourage you to do so.
If you want to join us in creating the most fun dating app in the world, we would love to hear from you!

Ps. We review applications on a rolling basis