Algorithm Engineer

About Us

Welcome to Mixtiles! In the beginning, in 2016, we were just two best friends working on a simple idea: how to make it super easy to turn your favorite smartphone photos into awesome wall art.

Today, we have multiple product lines, including Mixtiles, Mixtiles Art, Easyplant, Around, and Daydream. And we're shipping new products every year.

We're cutting edge in everything we do. Our products make use of advanced AI and AR technologies. Our marketing teams spend $50M+, working with top influencers and advertising on huge channels such as national TV. Our data teams handle vast amounts of data without hiccups. Our manufacturing floors have robots, and our 10+ facilities span multiple continents.

Our team is lean; we're just ~100 super-talented team members serving millions of customers every year. This means every single person on our team delivers real impact and has a lot of autonomy.

We love what we do, and we love people who love what they do. If you're that kind of person, read on.

What You're Applying For

We believe your camera roll holds more than just photos - it holds your story. Our newly formed AI team is driven by a bold vision: to transform the way people connect with their visual memories. By developing powerful algorithms that can rediscover, curate, and reimagine photo collections, we're unlocking the potential for magical experiences across a wide range of products. From art to storytelling and beyond - the possibilities are endless.

We're a small, high-caliber team where everyone owns the full lifecycle - from research to deployment. There's no hand-off culture here: we prototype, we ship, we monitor, and we improve. If you're excited by the mix of deep algorithmic work and rock-solid software engineering, you'll feel right at home.

What You'll Do

• Build and optimize end-to-end computer vision and deep learning pipelines that run on real-world mobile and cloud-scale photo data
• Develop clean, scalable, and maintainable production code that serves live users
• Design and implement infrastructure and tooling - CI/CD pipelines, testing frameworks, and internal libraries - to support rapid, high-quality iteration
• Take ownership across the stack: from reading a new paper to deploying your model with full test coverage and observability
• Collaborate tightly with a hands-on team of experts who do everything from architecture to UI to research.
  
  

• M.Sc. in Computer Science, Electrical Engineering, or a related field from a top-tier university.
• Solid foundations in computer vision, deep learning, and applied ML.
• Strong coding skills in Python (bonus: iOS knowledge), with production-level development experience.
• Experience building and deploying ML pipelines in production environments (mobile or cloud).
• Proficiency in software engineering practices: CI/CD, Docker, testing, monitoring, version control, and modular architecturee.
  
  

• Are equally comfortable writing model code and building pipelines.
• Like taking full ownership: from concept to scalable deployment.
• Get satisfaction from clean architecture, readable code, and well-tested systems.
• Prefer small, autonomous teams over large, fragmented orgs.
• Want your work to directly shape the product, not sit in a research folder.
  
  

• Build the foundations of a brand-new AI initiative inside a proven, fast-growing startup.
• Help transform millions of users' photo experiences
• Join a lean, high-impact team with deep expertise and no silos.
• Move fast, own your work, and see your ideas make it to production quickly.