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

✨ The Stack take on this adjoe GmbH job

• 🏢 adjoe GmbH has 4 jobs here, 2 with visa sponsorship see all
• 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
• 💡 No salary shown. Ask adjoe GmbH if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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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.

Key skills

• Machine Learning — in 291 other listings on The Stack
• Recommendation Systems — in 16 other listings on The Stack
• High-Throughput — in 1 other listing on The Stack
• Low-Latency — in 3 other listings on The Stack
• Deep Learning — in 50 other listings on The Stack
• TensorFlow — in 55 other listings on The Stack
• PyTorch — in 92 other listings on The Stack
• Jax — in 5 other listings on The Stack
• Software Engineering
• A/B Testing
• Model Deployment
• Model Monitoring
• Distributed Data Processing
• Data Engineering
• Real-Time Bidding
• Algorithm Development

On The Stack (as of 2026-11-05)

• adjoe GmbH has 3 other listings on The Stack, 1 of them marked as offering visa sponsorship.
• 166 visa-sponsored jobs in Germany on The Stack, posted in the last 60 days.
• 29 visa-sponsored machine learning engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about adjoe GmbH

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.