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

> 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 and deploy high-throughput, lo

- **Company:** adjoe (https://jobs.trythestack.co/companies/adjoe)
- **Location:** Hamburg, Germany
- **Work arrangement:** Remote
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Recommendation Systems, Deep Learning, TensorFlow, PyTorch, Jax, Software Engineering, Data Engineering, Spark, Flink, Kafka, AWS Athena, S3, MySQL, A/B Testing, Model Monitoring, Real-time Bidding
- **Posted by employer:** 2026-05-29
- **Added to The Stack:** 2026-06-05
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.ashbyhq.com/adjoe/1d7e558c-8e16-4c11-9c5f-ce6061cc71e0 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-machine-learning-engineer-fmd-adjoe

## About the role

Responsibilities:
- Architect and deploy high-throughput, low-latency recommendation and bidding systems that scale to millions of users and billions of requests.
- Identify and extract relevant signals from large datasets to improve model relevance and revenue impact.
- Design, train and optimize deep learning models and bidding strategies using TensorFlow, PyTorch or Jax.
- Own the full ML lifecycle: deployment, monitoring, performance analysis, model retraining and rollback procedures.
- Collaborate with backend and infra teams to integrate models into production with robust serving and instrumentation.
- Run rigorous A/B tests and experiments to validate improvements and measure business KPIs.
- Implement automated monitoring and alerts for model health, latency and data drift.

Requirements:
- 5+ years building and deploying production-grade recommendation systems in high-volume environments (adtech, e‑commerce, search).
- Strong expertise in deep learning and practical experience with TensorFlow, PyTorch or Jax.
- Solid software engineering skills and experience productionizing ML (APIs, serving, CI/CD for models).
- Familiarity with distributed data processing and storage (Spark, Flink, Kafka, S3, Athena, MySQL) is a plus.
- Experience with A/B testing, experiment design and model monitoring frameworks.
- Ability to optimize for low latency, throughput and operational reliability in real-time bidding contexts.

## Responsibilities

Architect and deploy high-throughput, low-latency recommendation systems and bidding strategies to drive company revenue. Own the end-to-end ML lifecycle, from data signal identification to production deployment and A/B testing.

## Requirements

Requires 5+ years of experience in production-grade recommendation systems within high-volume environments like adtech or e-commerce. Expertise in deep learning frameworks and a strong software engineering foundation are essential.

## FAQ

- **Is this Senior Machine Learning Engineer (f/m/d) role still open?** It was posted on 2026-05-29. Listings more than 30 days old may no longer be active, so check adjoe's site before applying.
- **Does adjoe offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on adjoe's site.
- **Where is this role located?** The listing gives the location as Hamburg, Germany. It is marked remote.
- **What skills does this role ask for?** The listing names: Recommendation Systems, Deep Learning, TensorFlow, PyTorch, Jax, Software Engineering, Data Engineering, Spark, Flink, Kafka, AWS Athena, S3, MySQL, A/B Testing, Model Monitoring, Real-time Bidding.

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