Machine Learning Researcher (wmd) Hybrid

dida Datenschmiede; Berlin; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A machine learning software company in Berlin seeks candidates for ML research roles. The position requires an MSc or PhD in a relevant field, combining theoretical insights with practical applications in computer vision or NLP. You will publish research, work in a collaborative environment, and apply advanced ML techniques. We offer flexible working hours and a hybrid work model.

Leistungen

Flexible working hours

Collaborative learning environment

Support for publishing research results

Qualifikationen

• Published academic papers; machine learning related papers are a plus.
• Creative mind that likes to solve problems.
• Grounded knowledge about machine learning and deep learning.

Aufgaben

• Work on machine learning research projects.
• Transfer theoretical insights to practical use cases.
• Publish results in relevant journals or conferences.
• Support the team in applying cutting-edge machine learning algorithms.

Kenntnisse

Machine Learning

Deep Learning

Python

Research Experience

Regression Analysis

Data Modeling

Writing Skills

Ausbildung

MSc or PhD in mathematics, physics, computer science or a related field

Tools

SPSS

R

Stata

Microsoft Word

Microsoft PowerPoint

Windows

Jobbeschreibung

Your mission

You will

work on machine learning research projects in particular addressing the question of how machine learning methodologies can be further improved in order to achieve better performances in relevant applications; those applications are likely to be connected to either computer vision or natural language processing however also more general methodological questions might be of interest (e.g. meta learning hyperparameter search efficient training of neural networks)

also work on transferring theoretical insights to practical use cases which are usually part of respective research projects with the goal of setting new industry standards

be able to publish your results in relevant journals or at machine learning conferences such as ICML NeurIPS or ICLR

foster our strong connections to academia keep up to date with advances in machine learning research and actively take part in our companys collaborative learning and development environment

support the dida team in applying cutting-edge machine learning algorithms

Your Profile

You have

• a MSc or PhD in mathematics physic computer science or a related field
• published academic papers; machine learning related papers are a plus
• a creative mind that likes to solve problems
• grounded knowledge about machine learning and deep learning in particular

Why us

You Will work with an interdisciplinary team of people with a solid background in mathematics and statistics. We offer flexible working hours (full and part time) and have a nice office with good coffee in Berlin Schöneberg. We prefer a hybrid work model but are open to remote work. We believe in science and support with publishing your research results.

Here are short descriptions of some projects we have worked on.

Estimate the amount of solar panels that fit on a roof (computer vision) :

Given a satellite picture and a ground image of a house automatically detect certain elements of a roof (including obstacles dormers etc.) in order to find out how many solar panels fit on it. This involves inferring 3d information from 2d pictures in order to infer the roof pitch.

Detect classify and suggest legal effectiveness of text paragraphs (NLP) :

Automatically go through thousands of legal documents with the goal to classify dedicated paragraphs and check their legal effectiveness. This involves converting scans to text coming up with a labelling scheme (problem modeling) and detecting different paragraphs automatically before tackling the inference task.

About us

dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing. Our team tackles applied problems for different customers by using latest scientific advancements (especially in deep learning) and therefore believes that research oriented thinking can help solving real-world problems more efficiently.

At dida we stand for equal opportunities regardless of gender nationality ethnic background or disability. We encourage everyone especially women people of color and people with disabilities to apply at dida.

Key Skills

• Intelligence Community Experience
• Python
• Spss
• Microsoft Word
• R
• Regression Analysis
• Windows
• Stata
• Microsoft Powerpoint
• Research Experience
• Data Modeling
• Writing Skills

Employment Type: Full‑Time

Vacancy: 1