Senior Machine Learning Engineer (f/m/d) at adjoe
May no longer be active — verify on the employer site
At a glance
- Company
- adjoe
- Location
- Hamburg, Germany
- Work arrangement
- Remote
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this adjoe job
- 🏢 adjoe has 15 jobs here, 15 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask adjoe 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 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.
Key skills
- Recommendation Systems — in 16 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 — in 194 other listings on The Stack
- Data Engineering — in 120 other listings on The Stack
- Spark — in 54 other listings on The Stack
- Flink
- Kafka
- AWS Athena
- S3
- MySQL
- A/B Testing
- Model Monitoring
- Real-time Bidding
On The Stack (as of 2026-11-05)
Frequently asked questions about adjoe
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.