Applied Machine Learning Engineer, Industry Solutions
Munichonsitemid
via Greenhouse
About this role
The Role
The Applied Machine Learning Engineer will be a member of Terra Quantum's AI Applied Research team. This team builds and delivers end-to-end machine learning solutions for industrial clients across time series forecasting, optimisation, computer vision, natural language processing, and generative AI. The Engineer will own the classical machine learning craftsmanship that makes those solutions work, from data exploration and feature engineering through to model selection, hyperparameter optimisation, training pipelines, evaluation, and client delivery.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, pandas, numpy, scikit-learn, pytorch…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Munich. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonpandasnumpyscikit-learnpytorchtensorflowgit
More at Terraquantum
- View →Researcher - Quantum Machine Learning & Quantum InformationGermany - Hybrid; Munich, Germany; St Gallen, Switzerland
- View →Senior Tensor AI ScientistGermany - Hybrid
- View →Electronics Design EngineerGermany - Hybrid; Munich, Germany
- View →Senior Systems Software EngineerGermany - Hybrid; Munich, Germany
- View →Mechanical Design EngineerGermany - Hybrid
- View →Financial AccountantEurope - Hybrid; San Francisco, USA