Senior MLOps Engineer (f/m/d)
- Hamburg
- adjoe
- Playtime Data Science
- Full-time
adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we’ve become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.
Architecting Intelligence to Optimize 200M+ Daily Decisions
As the intelligence core of our engineering organization, our Data Science team doesn’t just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time.
Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren’t just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange.
Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem.
Your Mission & Who We Are Looking For:
MLOps at production scale. You have 5+ years in MLOps or ML Engineering with a track record of deploying and maintaining models in high-traffic environments. At adjoe, that means keeping models fresh and performant across 2 billion+ daily requests, where decay in model quality directly impacts user experience and advertiser KPIs.
Continuous Training & Automation. You design and manage CT pipelines and scheduling logic to ensure models stay current as new data flows in. You understand the end-to-end ML lifecycle well enough to know when a model needs retraining.
Observability is part of the system, not an afterthought. You build monitoring systems that catch data skew, distribution shifts, and performance decay in production, using frameworks like Evidently, with alerts integrated directly into production pipelines.
Low-latency serving under heavy load. You wrap deep learning models into production APIs and lead load testing to validate performance at scale. You’re proficient in serving frameworks like Triton, ONNX Runtime, or TF Serving, and use deep-dive resource profiling to guide efficiency and optimization.
ML platform ownership. You work with infrastructure teams to architect the ML platform, automated access to CPU/GPU clusters via Kubernetes, Docker, and orchestration tools like Airflow or Kubeflow, so data scientists can focus on models, not infrastructure.
Plus: AdTech industry background. You understand how ad delivery systems work and the business logic underneath.
What’s in It for You?
🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
Go Big. Own projects with impact on 770M users and push adtech boundaries.
Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
Be Direct. Solve problems openly and collaborate across teams.
Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
Tips & Tricks to Nail Your Interviews!
Skip cover letters!
Check your equipment
Do some research!
Prepare an elevator pitch
Structure your answers
Let your personality shine
Be prepared with questions
Don’t be afraid of rescheduling
Recruiting FAQs
We aim to make our recruiting process as fast and efficient as possible, but the duration can vary depending on the role you are applying for. Usually we are really fast, though (less than 4 weeks).
Yes, if you see multiple roles open that match your skill set, you can apply for them simultaneously. Our Talent Acquisition team will review your application and contact you about the role that best seems to match your skills.
Yes, if you see multiple roles that match your skill set, you can apply for them simultaneously. Our Talent Acquisition team will review your application and contact you about the role that best matches your skills.
Great! Please allow a few days for our team to review your application. We will contact you with the next steps as soon as possible.
As part of our hiring process, we may use an AI Notetaker tool to transcribe and summarize interviews. This enables our hiring teams to focus fully on candidates and ensures a fair and well-documented selection process.
This tool joins interviews as a silent participant and generates a transcript and factual notes. Only those directly involved in the hiring process will have access to this data, which is stored securely and deleted after 6 months.
Candidates are informed in advance, given the option to opt out, and opting out does not impact the outcome of the application.
We’ll never ask you for money, fees, or sensitive information (like bank details, tax forms, or credit card numbers) during the hiring process.
If anything feels off, you can always double-check by reaching out to our Talent Acquisition team at ta@applike-group.com.
Once you’ve signed your contract, our HR team may request personal details, but only from our official email: hr@applike-group.com.
To ensure you are applying for a genuine position, we recommend verifying the opening on our official careers pages (applike, adjoe, etc.). If you prefer, feel free to submit your application directly through our site rather than third-party platforms.
No, we do provide full visa and relocation support.
We do! You can find more information about our relocation support and the succesful relocation of our colleagues here on this website.
No problem! Our visa and relocation support does also include your partner or kids. (Please be aware that legal marriage is often times a requirement to obtain a partner-visa).
If you prefer 100% remote companies, applike is not the right place for you because we strongly believe in face-to-face collaboration. However, we did implement a hybrid working model where we are in the office at least three days a week (Monday, Tuesday, and Thursday) and can work remotely the remaining two days. Additionally, you get three whole weeks per year to work fully remotely if you want.
Our hybrid working approach involves being in the office at least three days a week (Monday, Tuesday, and Thursday) and the option to work remotely the remaining two days. Flexible working hours mean that we work Monday-Friday, but do not have fixed working hours. Just make sure to adapt to the rhythm of your team.
The headquarters of the applike group and all its subsidiaries are located in Hamburg, Germany. We do have offices in the US and APAC.
Well next to the fact that you are able to see and collaborate with your colleagues face-to-face, we have a super modern office that leave no wishes open: from Drinks & Snack, areas to work away from your desk to a fully equiped gym.
Yes, you can!
Couldn’t find the perfect job offer?
Nevermind! We are always interested to get in touch with new talents.