Build the system that decides what plays next.

The Company

Mixtiles is a $300M profitable brand reinventing how homes feel.
We build products people didn’t know they needed - and now can’t live without:
Wall photos. Self-watering plants. Smart lighting.

Now we’re building something new.

The Product

DJ is our newest zero-to-one bet.
A smart speaker that doesn’t just play music - it understands the moment.

It listens to the room using audio and video.
Adapts to the people.
Builds the right soundtrack in real time.

This isn’t a playlist product.
It’s a taste engine - one that decides what should play next, and gets it right.

The Role

We’re looking for a founding engineer to build the intelligence behind DJ.

This is not a feature role.
It’s about creating the core system that understands music, context, and people - and turns that into decisions.

You’ll design the algorithms that power recommendations, transitions, and flow.
You’ll define how the system learns taste, reacts to signals, and improves over time.
You’ll go from idea -> prototype -> real users -> iteration - fast.

You’ll be part of a small team, with full ownership over what gets built and how.
Backed by Mixtiles, but operating like a startup.

What You’ll Do

• Build the core recommendation and decision engine behind DJ
• Design systems that model taste, context, and real-time signals
• Develop algorithms for sequencing, transitions, and session flow
• Turn messy inputs (behavior, feedback, environment) into clean decisions
• Experiment fast—test with real users, iterate, improve
• Define how we evaluate “good taste” and make it measurable
• Work across product, data, and engineering to shape the experience end-to-end

What You Bring

• Strong background in algorithms, ML, or recommendation systems
• Experience building systems that make real-time or sequential decisions
• Deep intuition for ranking, personalization, or taste modeling
• Ability to go from idea to working system - fast and independently
• Product instinct - you care not just about accuracy, but about how it feels
• Comfort operating in ambiguity and defining the problem as you go

Bonus If You’ve Done

• Worked on music, audio, or media recommendation systems
• Built ranking, retrieval, or session-based models at scale
• Designed evaluation frameworks for subjective systems (taste, quality, relevance)
• Have strong opinions about music - and can explain them

Why This Role

• Founding-level ownership on a brand new product
• A rare problem: turning taste into a system
• Small team, fast loops, real users from day one
• Backed by a company that knows how to build products people love

What you’re applying for

We believe a camera roll holds more than just photos—it holds a person's story. Our Algorithms team is driven by a bold vision: to transform how people connect with their visual memories. By developing powerful algorithms that can rediscover, curate, and reimagine photo collections, we are unlocking magical experiences across a wide range of products. From physical art to digital storytelling, the possibilities are endless.

We are a small, high-caliber team where every engineer owns the full lifecycle—from prototype to deployment. There is no "hand-off" culture here: we build, we ship, we monitor, and we improve. Most of our work involves Python-based algorithm development and productionizing those algorithms at scale. We also work within iOS, primarily for running models locally and syncing results with our servers.

If you are excited by the intersection of algorithmic depth and rigorous software engineering, you’ll feel right at home.

What You’ll Do

• Architect & Enhance: Build and improve the algorithmic and AI-driven systems that power our most intelligent product features.
• Experiment: Run tests and iterate on large datasets to constantly move the needle on performance.
• Bridge Platforms: Build pipelines and services that connect on-device signals to algorithmic decision-making.
• End-to-End Ownership: Take features from an initial idea to full production with measurable user impact.

What We’re Looking For

• Technical Foundation: B.Sc. in Engineering, Computer Science, or a related field (or equivalent experience).
• Engineering Excellence: Strong software engineering fundamentals and high coding ability.
• Growth Mindset: A genuine interest in applied AI and a desire to learn alongside the team.
• Production-Ready Backend Skills: Our algorithms serve millions of users in real-time, moving far beyond research notebooks. You have the backend experience to take end-to-end ownership of your models in a live production environment.

Nice to have

• Experience with Computer Vision algorithms and ML research.
• Familiarity with mobile development (especially iOS)
• Familiarity with CoreML, ONNX, or edge ML.
• Experience with C++ / Rust or other performance-oriented programming.
• Background in ML pipelines, embeddings, or large-scale data processing.

Why Join us?

• Work on AI-driven features that impact millions of people.
• Join a lean, high-impact team with significant autonomy and ownership.
• Learn applied algorithms and AI by shipping real systems to production.
• Move fast and see your ideas come to life quickly.

We help millions of people create homes they love. In 2016, we started as two best friends with a simple idea: how to make it incredibly easy to turn smartphone photos into beautiful wall art. Today, we operate multiple product lines with millions of customers, including Mixtiles, easyplant, and Oasis. We love what we do, and we love people who are passionate about their craft. If that sounds like you, read on.

What you’re applying for

We believe your camera roll holds more than just photos—it holds your story. Our Algorithms team is driven by a bold vision: to transform how people connect with their visual memories. By developing powerful AI and Computer Vision algorithms, we are unlocking the potential for magical experiences across a wide range of products.

This role is designed for someone who thrives on applied research: training models, exploring novel approaches, and solving complex ML and CV problems—then bringing those solutions into production at scale. You’ll tackle cutting-edge challenges with real-world constraints, moving from initial idea to prototype to measurable product impact.

We are a small, high-caliber team where everyone owns the full lifecycle, from research exploration to production deployment. There is no "hand-off" culture here: we build, we ship, we monitor, and we improve.

What You’ll Do

• Research & Develop: Architect state-of-the-art ML and Computer Vision solutions for large-scale photo understanding.
• Model Engineering: Train, fine-tune, and evaluate deep learning models tailored for real-world applications.
• Core Problem Solving: Tackle complex algorithmic challenges including classification, segmentation, retrieval, ranking, and personalization.
• Iterate at Scale: Run experiments quickly using large datasets, rigorous evaluation protocols, and best-in-class ML practices.
• Cross-Functional Collaboration: Work closely with engineering and product teams to translate research breakthroughs into production systems.

What We’re Looking For

• Advanced Education: M.Sc. in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
• Deep Learning Expertise: A strong background in ML and DL with at least 5 years of proven experience in the field.
• CV Fundamentals: A deep understanding of Computer Vision principles and practical experience applying them to real data.
• End-to-End Training: Experience managing the full training pipeline, including data curation, augmentation, evaluation, and iteration.
• Coding Proficiency: Strong programming skills and the ability to bridge the gap between research code and production-ready solutions.

Nice to have

• PhD in Computer Science, Electrical Engineering, or a related field.
• Experience with modern architectures (Transformers, ViTs, multimodal models, diffusion models, etc.).
• Background in large-scale and distributed training.
• Experience deploying models to production, including optimization, monitoring, and edge/on-device ML.

Why Join us?

• Work on highly challenging ML and CV problems within real-world constraints.
• Ship applied research directly into products used by millions.
• Join a lean, high-impact team with significant autonomy and ownership.
• Move fast, publish internally, and see your work define the user experience.

Interested? Apply now or reach out directly—let’s build something unforgettable together.

That’s where you come in.

What you’ll actually do

You’ll be the guardian of quality for everything we ship - from sensor devices and iOS/Android apps to firmware updates and factory workflows. You’ll catch issues before they reach customers, help debug the weird ones that slip through, and make sure every release feels solid, stable, and intentional.

• Own QA across the stack: hardware, firmware, mobile, backend, and more
• Run ongoing manual testing for new features, regressions, edge cases, and field behavior
• Investigate and reproduce tricky bugs; open clear reports and push for resolution
• Act as the first line of technical escalation for Customer Service - dig deep and get answers
• Use internal tools (logs, metrics, dashboards, admin panels) to debug quickly and smartly
• Lead our Pioneers program: an internal beta group that helps us test in the wild
• Translate findings into clear, actionable insights for Product, Engineering, and Ops
• Occasionally support vendor QA, manufacturing validation, and release readiness
• Join customer calls when needed to unblock investigations and represent the team

Who you are

You’re a high-energy, high-ownership problem solver who thrives in fast-moving, messy, real-world systems. You don’t wait for perfect tools - you make things work and get to the root of issues.

• You care deeply about quality and user experience
• You have strong technical and analytical instincts, even if you’re not writing code
• You’re clear, direct, and collaborative in communication (especially in English)
• You’re organized, autonomous, and love digging into complexity
• You adapt fast and aren’t afraid of dirty work if it moves the product forward

Nice to have

• Experience testing IoT or connected devices
• Familiarity with debugging and observability tools (CloudWatch, Grafana, Sentry, etc.)
• Worked with manufacturing QA or overseas vendors
• Ran or supported beta/field testing programs
• Bonus for basic scripting or automation instincts (even if this is mostly manual work)

Why is this role special

• You’ll touch every part of the system, and work with every team
• You’ll be the person we turn to when something breaks in the wild
• You’ll make sure every release earns user trust
• You’ll turn chaos into clarity, and help build products that just work

If you’re obsessed with quality, love a good mystery, and want to own the glue between teams, we’d love to meet you.

What you're applying for?

• You will build new things and improve on products that reach millions of customers.
• You will learn how to “start up” -
• Data based decision making.
• Learn from the company's experience launching multiple products.
• You will work with other senior engineers and keep growing together with them.
• You will use technology to create great experiences for customers.

What we are looking for?

• You have 5+ years of experience as an iOS software engineer 
• Exceptional track record of excellence (e.g., ex-8200 / academic distinctions / upwards career trajectory)
• You care about creating the best customer experience
• You share our view of the world as outlined above
• If you worked in a start-up or a B2C company, that’s a great bonus

Build the tech behind the most effortless plant experience on Earth

Who we are

At Mixtiles, we create magical physical products that help people love their homes. With easyplant, we’ve reimagined what plant care can feel like. Smart hardware, self-watering systems, embedded sensors, efficient fulfillment, and a beautifully simple app come together to create a seamless experience.

The easyplant ecosystem spans software, hardware, mobile, logistics, AI, and commerce. We design the products, build the factory tools, ship the boxes, and write the code. Nearly every part of the customer experience is owned in-house, and we see software as a core advantage.

Why this role matters

We’re looking for an engineering leader who is both hands-on and product-driven. Someone who thrives on ownership, loves the ambiguity of building something new, and wants to shape systems that create delight at scale.

You will lead the next chapter of easyplant’s tech evolution. This includes launching our next-generation product, easyplant 2.0 - a fully electronic, sensor-powered version of the self-watering system. easyplant 2.0 will give customers precise insight into water levels, light exposure, and humidity. It’s a true IoT product, blending mobile software with embedded hardware, firmware, and real-time data.

You’ll also lead the rebuild of our mobile experience, architect internal tools that support global fulfillment, and enable a network of manufacturing sites with no developers on site.

What makes this role special

• You will work across layers of technology, from mobile apps and backend systems to embedded sensors and factory dashboards
• You will shape the core product, not just its interface, influencing both what we build and how we build it
• You will lead the technical effort behind easyplant 2.0, a connected device that blends real-time sensing with beautifully simple UX
• You will help build fulfillment systems that operate globally, adapt to complexity, and require zero engineers on site
• You will work directly with product, operations, design, marketing, and data to solve high-leverage challenges with speed and creativity

Who you are

• You are a hands-on engineering leader with strong technical instincts and product intuition
• You have built and scaled complex systems and still love writing code
• You are excited by products that mix software and hardware in unpredictable environments
• You enjoy collaborating across disciplines and take pride in shared wins
• You move quickly, think clearly, and adapt well when things are still in flux
• You believe in thoughtful architecture, fast feedback loops, and clear ownership
• You see AI as a practical tool for improving speed, quality, and creativity

We use TypeScript, React/React Native, Node, Swift, Python, PostgreSQL, MongoDB, AWS, and plenty of AI tooling—but we’re tech-agnostic when it comes to talent.

How do R&D teams look like in Mixtiles?

• Mixtiles R&D teams are running as separate squads, each executing on their own goals and focusing on their products. We do sprints, working to create a fast impact.
• Our squads are small (3-5 people) and work closely with product managers and designers to bring changes to life.
• We are as Full Stack as we can, not afraid to touch and change what’s needed to get the needle moving. Frontend, Backend, Devops, Quality and more. We do it all and we own what we do.
• We work together. We use each other to be better and move faster.

Why should I work at Mixtiles?

• You will build new things and improve on products that reach millions of customers.
• You will learn how to “start up” -
  • Data based decision making.
  • Learn from company’s experience launching multiple products.
• You will work with other senior engineers and keep growing together with them.
• You will use technology to create great experiences for customers.

What's life at Mixtiles like?

We built the company the way we build products. We aim to have the best experience for our employees. We created a great working environment for employees. We care deeply about each other and what we do. We make data-based decisions on how our culture should look, gathering as much feedback as possible from employees and striving to build the best experience for all. We ensure whoever joins us shares our vision and our way of operating.

Who are you?

• You have 5+ years of experience as a software engineer
• Exceptional track record of excellence (e.g., ex-8200 / academic distinctions / upwards career trajectory)
• You care about creating the best customer experience
• You share our view of the world as outlined above
• If you worked in a startup or a B2C company, that’s a great bonus