We solve on of the biggest problems in e-commerce: Normalizing product information. Using machine learning an NLP we transform broken, badly-labeled, unstructured data into useable, categorised and normalized data. See:
We are obsessed with functional programming. We use mainly Scala (backend) and we are researching a lot on NLP and ML.
We look for:
- Senior Machine learning Researcher / Engineer - you will read & write papers on machine learning and/or implement algorithms in our core product.
- Senior Backend Scala engineer - you will build or well-tested backend and our core product. And we expect you to have experience with Scala to hit the ground running.
- Data Preparation Export (Data Science) - you will help our customers adjust their data (transformation, classification) to our platform. This is a mix of Data Scientist, Data Analyst, Project Manager and Customer Success Manager.
The interview process:
1) 15 min call with our tech recruiter (has technical background, won't bullshit you)
2) Technical call with CTO
3) Onsite day solving a programming task with us.
Send us a short intro about yourself or questions about Switzerland and Zurich to:
We solve on of the biggest problems in e-commerce: Normalizing product information. Using machine learning an NLP we transform broken, badly-labeled, unstructured data into useable, categorised and normalized data. See:
https://www.slideshare.net/wealthportadmin/getting-started-w...
We are obsessed with functional programming. We use mainly Scala (backend) and we are researching a lot on NLP and ML.
We look for:
- Senior Machine learning Researcher / Engineer - you will read & write papers on machine learning and/or implement algorithms in our core product.
- Senior Backend Scala engineer - you will build or well-tested backend and our core product. And we expect you to have experience with Scala to hit the ground running.
- Data Preparation Export (Data Science) - you will help our customers adjust their data (transformation, classification) to our platform. This is a mix of Data Scientist, Data Analyst, Project Manager and Customer Success Manager.
The interview process: 1) 15 min call with our tech recruiter (has technical background, won't bullshit you) 2) Technical call with CTO 3) Onsite day solving a programming task with us.
Send us a short intro about yourself or questions about Switzerland and Zurich to:
hiring@wealthport.tech