Senior Machine Learning Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 6h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 212d ago
The date the source published, not the day we noticed it (2026-03-13). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Ukraine, Poland, Germany
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay PLN 302.4k–399.8k/yr
Middle 50% of 37 listings that do state pay — Engineering · Senior · Poland · PLN/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 8h ago · last seen 1h ago
The listing
We are looking for a Senior Machine Learning Engineer to design, own, and scale predictive systems that power VIS.X - programmatic advertising platform.
You will take end-to-end responsibility for high-impact ML initiatives (e.g., pricing optimization, bid prediction, performance forecasting, delivery optimization) and translate complex business problems into robust, production-grade machine learning systems.
This is a senior individual contributor role with leadership potential. You will help shape our ML architecture, standards, and long-term AI strategy, with the opportunity to grow into a team lead role as we expand our data science capabilities.
Requirements:
- 5+ years of experience in machine learning / applied ML roles with production ownership
- Proven track record of deploying and maintaining ML systems in real-world environments
- Strong Python skills (e.g., pandas, scikit-learn, PyTorch/TensorFlow)
- Solid knowledge of statistics, experimentation design, and model evaluation
- Experience working with large-scale datasets and performance-critical systems
- Understanding of MLOps principles (model lifecycle, monitoring, CI/CD integration, retraining pipelines)
- Strong problem ownership mindset - ability to independently structure ambiguous challenges
- Ability to translate business trade-offs into modeling decisions
- Experience in AdTech, marketplaces, or auction-based systems is a plus
- Experience working in high-scale, real-time systems is a plus
Responsibilities:
- Take ownership of machine learning problems from concept to production
- Design, build, and deploy predictive models (e.g. pricing, bidding, optimization, forecasting)
- Develop scalable feature engineering and data pipelines for large-scale datasets
- Define experimentation frameworks (A/B testing, offline validation, model comparison)
- Ensure production-grade MLOps: monitoring, retraining, drift detection, reliability
- Collaborate closely with DevOps, Product, Engineering teams to align ML with business impact
- Quantify model impact on revenue, margin, and performance KPIs
- Contribute to building our long-term ML architecture and best practices
What we offer:
- Comfortable environment, challenging tasks and a long-term interesting project;
- Covered 20 days of vacation;
- Working with top notch equipment;
- Bookkeeping by a professional accountant;
- Help and support from our caring HR-team;