Machine Learning Ops Engineer (all genders)

Posted 4 Days Ago
Be an Early Applicant
Vienna, AUT
In-Office
65K-65K Annually
Mid level
Artificial Intelligence • Consumer Web • Software • Design
The Role
Design and maintain ML data pipelines, cloud infrastructure, and deployment workflows across the full machine learning lifecycle. Optimize and convert models for mobile hardware using compression and quantization, deploy them as APIs or embedded modules, and implement monitoring and feedback loops. Collaborate with backend and frontend developers to integrate AI features into Journi’s photo-printing products.
Summary Generated by Built In

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

  1. Intro Call with the People & Culture Team (30 min)

  2. Technical challenge - algorithm development (2 h)

  3. Technical interview with the ML team (1.5 h)

  4.  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. 🌟

Skills Required

  • 3+ years of experience as an ML Engineer, AI Engineer, ML Ops Engineer, Data Scientist, or in a similar role
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field
  • Strong Python programming skills
  • Ability to investigate and debug models running on backend JVM or mobile Swift/Kotlin platforms
  • Knowledge of model compression and quantization techniques
  • Experience deploying machine learning models on mobile platforms and/or the web
  • Proficiency with Docker containerization
  • Experience with cloud platforms and cloud compute resource management, especially AWS EC2 or GCP Compute Engine
  • Strong problem-solving and cross-functional collaboration skills
  • Familiarity with genetic algorithms and optimization methods
  • Experience training models for classical computer vision problems such as image classification, object detection, image denoising, or saliency detection
  • Familiarity with reinforcement learning algorithms
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Vienna
97 Employees
Year Founded: 2014

What We Do

Journi is on a mission to build the world’s most-downloaded printing app, helping over 10 million users worldwide turn their favorite moments into beautifully designed Photo Books and Prints using smart AI.

Similar Jobs

Mondelēz International Logo Mondelēz International

Program Manager

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Remote or Hybrid
9 Locations
90000 Employees
4K-4K Annually

Pfizer Logo Pfizer

Quality Assurance Manager

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Remote or Hybrid
28 Locations
121990 Employees

Pfizer Logo Pfizer

Senior Director, Applied AI - US Commercial

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
In-Office or Remote
28 Locations
121990 Employees
215K-358K Annually

Zscaler Logo Zscaler

Account Executive

Cloud • Information Technology • Security • Software • Cybersecurity
Easy Apply
Remote or Hybrid
Austria
8697 Employees
82K-118K Annually

Similar Companies Hiring

Kepler  Thumbnail
Artificial Intelligence • Fintech • Software
New York, New York
9 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Revel.io Thumbnail
Aerospace • Hardware • Robotics • Software
US
50 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account