dida Datenschmiede GmbH
Mathematician, Physicist(m/w/x)
Full-time/Part-timeWith HomeofficeNot specified
Berlin
New Job?Nejo!
Your personal AI career agent
DIdida Datenschmiede GmbH
Machine Learning Researcher(m/w/x)
Berlin
Full-time, Part-timeWith Home Office
AI/ML
Data Science
Nejo AI Summary
Applied research in meta-learning and hyperparameter search for computer vision and NLP software. Published academic papers in mathematics, physics, or computer science required. Flexible working hours, hybrid and remote work options.
Requirements
- MSc or PhD in mathematics, physic, computer science or related field
- Published academic papers, machine learning papers plus
- Creative mind and problem-solving skills
- Grounded knowledge of machine learning and deep learning
Tasks
- Conduct machine learning research projects
- Improve methodologies for better application performance
- Research computer vision and NLP applications
- Explore meta learning and hyperparameter search
- Develop efficient neural network training methods
- Transfer theoretical insights to practical use cases
- Set new industry standards through research
- Publish results in journals and conferences
- Maintain strong connections to academia
- Stay current with machine learning advances
- Participate in collaborative learning and development
- Apply cutting-edge machine learning algorithms
- Detect roof elements from satellite and ground images
- Infer 3D information to determine roof pitch
- Estimate solar panel capacity for roofs
- Classify paragraphs in legal documents
- Evaluate legal effectiveness of text segments
- Convert document scans to text
- Develop labeling schemes for problem modeling
- Automate paragraph detection and inference tasks
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning
- Deep Learning
Benefits
Flexible Working
- Flexible working hours
- Hybrid work model
- Remote work options
Modern Office
- Office in Berlin Schöneberg
Snacks & Drinks
- Good coffee
Other Benefits
- Research publishing support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of dida Datenschmiede GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Not a perfect match?
- Merantix Momentum
Machine Learning Engineer - Talent Pool(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin - Aumovio
Master Thesis - Optimizing Sparse 3D Occupancy Prediction for Embedded Devices(m/w/x)
Full-timeInternshipWith HomeofficeBerlin - Clue
(Senior) ML Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Axel Springer News Media National
Senior Software Engineer - Machine Learning(m/w/x)
Full-time/Part-timeWith HomeofficeSeniorBerlin
DIdida Datenschmiede GmbH
Machine Learning Researcher(m/w/x)
Berlin
Full-time, Part-timeWith Home Office
AI/ML
Data Science
Nejo AI Summary
Applied research in meta-learning and hyperparameter search for computer vision and NLP software. Published academic papers in mathematics, physics, or computer science required. Flexible working hours, hybrid and remote work options.
Requirements
- MSc or PhD in mathematics, physic, computer science or related field
- Published academic papers, machine learning papers plus
- Creative mind and problem-solving skills
- Grounded knowledge of machine learning and deep learning
Tasks
- Conduct machine learning research projects
- Improve methodologies for better application performance
- Research computer vision and NLP applications
- Explore meta learning and hyperparameter search
- Develop efficient neural network training methods
- Transfer theoretical insights to practical use cases
- Set new industry standards through research
- Publish results in journals and conferences
- Maintain strong connections to academia
- Stay current with machine learning advances
- Participate in collaborative learning and development
- Apply cutting-edge machine learning algorithms
- Detect roof elements from satellite and ground images
- Infer 3D information to determine roof pitch
- Estimate solar panel capacity for roofs
- Classify paragraphs in legal documents
- Evaluate legal effectiveness of text segments
- Convert document scans to text
- Develop labeling schemes for problem modeling
- Automate paragraph detection and inference tasks
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning
- Deep Learning
Benefits
Flexible Working
- Flexible working hours
- Hybrid work model
- Remote work options
Modern Office
- Office in Berlin Schöneberg
Snacks & Drinks
- Good coffee
Other Benefits
- Research publishing support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of dida Datenschmiede GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
dida Datenschmiede GmbH
Industry
IT
Description
dida ist eine führende Machine Learning Agentur, die sich mit angewandten Problemen in Bereichen wie Computer Vision und Natural Language Processing beschäftigt und KI-Innovationen vorantreibt.
Not a perfect match?
- dida Datenschmiede GmbH
Mathematician, Physicist(m/w/x)
Full-time/Part-timeWith HomeofficeNot specifiedBerlin - Merantix Momentum
Machine Learning Engineer - Talent Pool(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin - Aumovio
Master Thesis - Optimizing Sparse 3D Occupancy Prediction for Embedded Devices(m/w/x)
Full-timeInternshipWith HomeofficeBerlin - Clue
(Senior) ML Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Axel Springer News Media National
Senior Software Engineer - Machine Learning(m/w/x)
Full-time/Part-timeWith HomeofficeSeniorBerlin