Machine Learning Ops Engineer (all genders)
Journi GmbH Vienna, Austria · €65K/yr
Technology, Information and Internet · 51-200 employees
About the role
You will design and implement data pipelines while building and maintaining cloud-based ML infrastructure. Additionally, you will optimize models for mobile hardware and deploy them as APIs or embedded modules.
What they look for
Requirements
Candidates must have 3+ years of experience in ML or data science roles and a degree in Computer Science or a related field. Strong Python programming skills and experience with containerization and cloud platforms are required.
Benefits
Full description
We love the magic of memory keeping
At Journi, we’re on a mission to build the world’s most-downloaded printing app.
With over 10 million users worldwide, we help people turn their favorite moments into beautifully designed Photo Books and Prints. Our smart AI makes the process fast, simple, and joyful, so our users can spend less time editing and more time reliving their best stories.
We’re looking for an enthusiastic Machine Learning Ops Engineer to play a key role across the entire ML lifecycle - from data collection and preprocessing to infrastructure management and full-stack deployment.
You’ll join an innovative team building new product concepts, exploring new business opportunities, and turning ML ideas into impactful solutions.
🚀 What you'll do
- Enhance the user experience with AI-powered features in the number 1 printing app in the world, enabling customers to create personalized print products with minimal effort
- Design and implement data pipelines to collect, clean, and preprocess structured and unstructured data
- Build and maintain cloud-based ML infrastructure, and improve and tune existing model prototypes
- Optimize machine learning models for mobile hardware constraints and convert them to appropriate formats (ONNX, CoreML, etc.) based on deployment targets
- Deploy models as APIs, services, or embedded modules into the backend, collaborating with backend and frontend developers to ensure seamless integration
- Implement monitoring and feedback loops for deployed models
🎒 Your bag of tricks
- 3+ years of experience as an ML Engineer / AI Engineer / ML Ops Engineer / Data Scientist / another role with similar responsibilities
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field
- Strong Python programming skills and ability to investigate & debug issues with models running on backend (JVM) or mobile platforms (Swift/Kotlin)
- Knowledge of model compression and quantization techniques
- Experience deploying ML models on mobile platforms and/or web
- Proficient in containerization with Docker
- Experience with cloud platforms and cloud compute resources management (especially AWS EC2 or GCP Compute Engine)
- Strong problem-solving skills and the ability to work cross-functionally
🔥 Nice-to-haves
- Familiarity with genetic algorithms and methods of their optimization
- Experience with training the models for the classical computer vision problems, like image classification, object detection, image denoising, and/or saliency detection
- Familiarity with reinforcement learning algorithms
✨ What we offer
A happy team makes for a happy workplace. We wouldn’t be able to do what we do without our team, and that’s why we offer:
- A fair annual gross salary starting at € 65,000. Our final offer depends on your experience and qualifications.
Plus, a bunch of awesome social benefits, such as:
- Vacation goals: 25 days off per year, plus 1 extra day for every year you stick around (up to 5 extra days!)
- Work your way: enjoy a hybrid working model with 40% home office days and flexible hours (core hours: 10am-4pm Mo-Th; and 10am-2pm Fri)
- Daily fuel: breakfast, Italian-style coffee, tea, and fresh daily lunches in our in-house eatery, with options for most dietary preferences
- Go places: we reimburse your public transport card for Vienna
- Team first: join our yearly team-building Journi to exciting destinations
- Mac your life easier: with a company MacBook, also available for personal use
- Boost your German: weekly in-house lessons in small groups
- Special treatment: enjoy a premium membership on all Journi products
... and more!
📫 What to expect after you apply
- Intro Call with the People & Culture Team (30 min)
- Technical challenge - algorithm development (2 h)
- Technical interview with the ML team (1.5 h)
- Final Interview with the Leadership Team (1 h)
We’d love to hear from you - please include your CV and cover letter with your application!
About us
Everyone is welcome at Journi
No matter your background, identity, or story, if you’re exceptional at what you do, there’s a place for you here. We believe that an inclusive team is a stronger team, and we want everyone to feel respected and understood from the moment they join us.
Turning digital memories into something you can hold
Our goal is simple: to make it effortless for you to preserve the memories you cherish. By combining smart technology with a love for design, we turn "photo chaos" into high-quality keepsakes in seconds. You capture the moments; we help you keep them forever.
A global team with heart
More than 10 million people around the world already use Journi to create their Photo Books, and we’re just getting started. We’re a global team of 100+ people united in Vienna, thinking big and building with care. We work hard, but we never take ourselves too seriously. We keep things informal, friendly, and always on our users' side.
If you’re excited to solve meaningful challenges and shape a product loved by millions, we’d love to hear from you. 🌟
Similar roles
-
Senior Machine Learning Engineer
Censys Canada · $151K–$206K/yr
-
Machine Learning Engineer
Darwill, Inc. Oakbrook Terrace, Illinois, United States
-
Staff Machine Learning Engineer, AV Core
Wayve Sunnyvale, California, United States · $336K–$370K/yr
-
Senior Machine Learning Engineer
TradingView Limassol, Cyprus, Cyprus
-
Senior II Software Engineer - Machine Learning Platform
Wise Tallinn, Harju, Estonia · €85K–€108K/yr
-
(Senior) Machine Learning Operations Engineer (m/f/d) - REF97172N
Continental Hanover, Lower Saxony, Germany