Machine Learning Scientist (w/m/d) - Hybrid

Dida; Berlin; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Hybrid work model

Collaborative learning and development environment

Nice office with good coffee

Zusammenfassung

A machine learning software company seeks a talented individual in Berlin to support its team by applying cutting-edge machine learning algorithms. Candidates with a MSc or PhD in mathematics or physics, and solid programming experience are preferred. Duties include experimenting with model architectures and keeping abreast of advances in machine learning. The role supports a hybrid work model, allowing for flexibility in work hours.

Qualifikationen

• MSc or PhD in mathematics or physics is required.
• Interest in modern machine learning approaches is necessary.
• Solid programming experiences are essential, especially in Python.
• Solid programming experiences (Python is a bonus).

Aufgaben

• Support the team in applying machine learning algorithms.
• Experiment with model architectures for effective solutions.
• Stay updated with machine learning research advancements.

Kenntnisse

Problem-solving

Understanding of machine learning

Programming (Python)

Knowledge of deep learning

Ausbildung

MSc or PhD in mathematics or physics

Jobbeschreibung

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.

Your mission

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.

You will

• support the dida team in applying cutting‑edge machine learning algorithms
• experiment with model architectures to find the best solution for each specific project
• keep up to date with advances in machine learning research and actively take part in our company’s collaborative learning and development environment.

Your Profile

You have

• a MSc or PhD in mathematics or physics
• a creative mind that likes to solve problems
• interest in modern machine learning approaches (experience in deep learning is a bonus)
• solid programming experiences (Python is a bonus)

Minimum type of documents to attach:

• CV (mandatory)
• (Uni) Degree(s) (mandatory)
• Transcripts (where applicable)
• Project / Code Examples / Portfolio (optional)

What we need from you?