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

Talantir; Berlin; Hybrid; EUR 70,000 - 90,000; Full time

Job summary

Talantir in Berlin is seeking a research-focused ML scientist to advance computer vision and NLP methods. You will work on cutting-edge projects, publish novel results, and transfer insights to practical use cases within a collaborative, interdisciplinary team.

The role offers flexible hours (full or part-time) and a hybrid work model with a preference for Berlin Schöneberg. The company supports publishing research findings and ongoing learning.

Qualifications

• Published academic papers; ML-related papers preferred.
• Creative mind with problem-solving skills.
• Grounded knowledge about machine learning and deep learning.

Responsibilities

• Conduct machine learning research on CV/NLP topics and related methodological questions.
• Publish results in journals or conferences (ICML, NeurIPS, ICLR).
• Bridge theory to practical applications within dida projects.
• Support the collaborative learning and development environments of the team.

Skills

Machine Learning

Deep Learning

Mathematics

Creative problem solving

Education

MSc in Mathematics or Physics

PhD in Computer Science

Job description

Your mission

You willwork 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 standardsbe able to publish your results in relevant journals or at machine learning conferences such as ICML, NeurIPS or ICLRfoster our strong connections to academia, keep up to date with advances in machine learning research and actively take part in our company’s collaborative learning and development environmentsupport the dida team in applying cutting-edge machine learning algorithms

Your Profile

You havea MSc or PhD in mathematics, physic, computer science or a related fieldpublished academic papers; machine learning related papers are a plusa creative mind that likes to solve problemsgrounded 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.