# Senior Machine Learning Engineer (f/m/d) at adjoe GmbH

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Architect, build and deploy high-through

- **Company:** adjoe GmbH (https://jobs.trythestack.co/companies/adjoe-gmbh)
- **Location:** Hamburg, Germany
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Machine Learning, Recommendation Systems, High-Throughput, Low-Latency, Deep Learning, TensorFlow, PyTorch, Jax, Software Engineering, A/B Testing, Model Deployment, Model Monitoring, Distributed Data Processing, Data Engineering, Real-Time Bidding, Algorithm Development
- **Posted by employer:** 2026-03-24
- **Added to The Stack:** 2026-03-30
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://join.com/companies/adjoe/15901201-senior-machine-learning-engineer-f-m-d (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-machine-learning-engineer-fmd-adjoe-gmbh

## About the role

Responsibilities:
- Architect, build and deploy high-throughput, low-latency recommendation systems that scale to millions of users and billions of requests.
- Develop and refine relevance models and bidding strategies using deep learning and ML best practices.
- Own end-to-end ML lifecycle: training, deployment, monitoring, performance analysis and iterative improvements.
- Collaborate with backend and data engineering to integrate models into production and ensure scalability/reliability.
- Design and run rigorous A/B tests and experiments; measure impact on business metrics.

Requirements:
- 5+ years building and deploying production-grade recommendation systems (adtech, e-commerce, search or similar).
- Strong deep learning skills with hands-on experience in TensorFlow, PyTorch or Jax and model optimization for latency/throughput.
- Solid software engineering background and experience with model monitoring and A/B testing.
- Familiarity with large-scale data processing (Spark, Flink, Kafka) and storage solutions (S3, Athena, MySQL) is a plus.
- Strong analytical mindset, ability to work cross-functionally and influence product/business outcomes.

## Responsibilities

The role involves architecting and deploying a high-throughput, low-latency recommendation system scaling to millions of users, while developing and refining relevance models and bidding strategies to directly influence company revenue. Responsibilities also include owning the end-to-end lifecycle of production ML models, collaborating with engineering teams for robust implementation, and conducting rigorous A/B testing.

## Requirements

Candidates must have over 5 years of experience developing and deploying production-grade recommendation systems in high-volume environments, demonstrating expertise in deep learning using frameworks like TensorFlow, PyTorch, or Jax. A strong software engineering foundation is essential, with a preference for understanding data engineering principles and experience with large-scale distributed data processing systems.

## FAQ

- **Is this Senior Machine Learning Engineer (f/m/d) role still open?** It was posted on 2026-03-24. Listings more than 30 days old may no longer be active, so check adjoe GmbH's site before applying.
- **Does adjoe GmbH offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on adjoe GmbH's site.
- **Where is this role located?** The listing gives the location as Hamburg, Germany.
- **What skills does this role ask for?** The listing names: Machine Learning, Recommendation Systems, High-Throughput, Low-Latency, Deep Learning, TensorFlow, PyTorch, Jax, Software Engineering, A/B Testing, Model Deployment, Model Monitoring, Distributed Data Processing, Data Engineering, Real-Time Bidding, Algorithm Development.

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