Machine Learning Researcher (wmd) Hybrid

dida Datenschmiede; Berlin; Hybrid; EUR 50.000 - 75.000; Vollzeit

Zusammenfassung

A machine learning software company in Berlin is seeking a researcher for machine learning projects focused on methodologies for applications in computer vision and NLP. Candidates should hold an MSc or PhD in a relevant field and have experience publishing academic papers. The role supports hybrid work, fostering collaboration in an interdisciplinary environment, and aims at setting new industry standards. Join a team committed to applying scientific advancements to real-world problems.

Leistungen

Flexible working hours

Support for publishing research results

Nice office with good coffee

Qualifikationen

• 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.

Aufgaben

• Work on machine learning research projects, aiming to improve methodologies.
• Transfer theoretical insights to practical use cases.
• Publish results in relevant journals or conferences.
• Foster connections with academia and stay updated on research.
• Support the team in applying cutting-edge machine learning algorithms.

Kenntnisse

Intelligence Community Experience

Python

SPSS

Microsoft Word

R

Regression Analysis

Windows

Stata

Microsoft PowerPoint

Research Experience

Data Modeling

Writing Skills

Ausbildung

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

Jobbeschreibung

Your mission

Work on machine learning research projects, particularly addressing how to improve machine learning methodologies for better performance in relevant applications. These applications are likely connected to computer vision or natural language processing, but more general methodological questions may also be of interest, such as meta‑learning, hyper‑parameter search, and efficient training of neural networks.

Transfer theoretical insights to practical use cases that are part of respective research projects, with the goal of setting new industry standards.

Publish results in relevant journals or at machine learning conferences such as ICML, NeurIPS, or ICLR.

Foster strong connections with academia, keep up to date with advances in machine learning research, and actively participate in the company’s collaborative learning and development environment.

Support the dida team in applying cutting‑edge machine learning algorithms.

Your Profile

As a candidate, you should have:

• A MSc or PhD in mathematics, physics, 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 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 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 to determine the roof pitch.

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

Automatically process thousands of legal documents to classify specific paragraphs and assess their legal effectiveness. This involves converting scans to text, creating a labeling scheme (problem modeling), and detecting different paragraphs automatically before tackling the inference task.

About us

dida is a machine learning software company that tackles applied problems for different customers using the latest scientific advancements, especially in deep learning. We believe that research‑oriented thinking can help solve 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

Experience: years

Vacancy: 1