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- Aufgaben: Join our team to solve real-world problems using cutting-edge machine learning algorithms.
- Arbeitgeber: dida is a dynamic machine learning software company focused on computer vision and NLP.
- Mitarbeitervorteile: Enjoy flexible working hours, a hybrid work model, and a cozy office with great coffee in Berlin.
- Warum dieser Job: Be part of an interdisciplinary team and contribute to impactful projects while advancing your research.
- Gewünschte Qualifikationen: MSc or PhD in mathematics or physics; programming skills, especially in Python, are a plus.
- Andere Informationen: We promote equal opportunities and encourage diverse applicants to join our innovative team.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Your mission
dida is a machine learning software company with exciting problems in computer vision and natural language processing. Our team tackles applied problems for different customers by using the latest scientific advancements (especially in deep learning) and believes that research-oriented thinking can help solve 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 experience (Python is a bonus)
Minimum type of documents to attach:
- CV (mandatory)
- (Uni) Degree(s) (mandatory)
- Transcripts (where applicable)
- Project / Code Examples / Portfolio (optional)
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 publishing your research results.
Find below a short description of two of our current projects:
- 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 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 labeling 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 in computer vision and natural language processing. Our team tackles applied problems for different customers by using the latest scientific advancements (especially in deep learning) and believes 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.
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Mathematician, Physicist (w/m/d) - Hybrid Arbeitgeber: dida Datenschmiede GmbH
Kontaktperson:
dida Datenschmiede GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Mathematician, Physicist (w/m/d) - Hybrid
✨Tip Number 1
Familiarize yourself with the latest advancements in machine learning, especially in deep learning. This will not only help you understand the projects at dida better but also show your genuine interest during discussions.
✨Tip Number 2
Engage with the machine learning community by attending webinars or workshops. Networking with professionals in the field can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects you've worked on that relate to computer vision or natural language processing. Being able to articulate your problem-solving process will demonstrate your creative thinking.
✨Tip Number 4
Show enthusiasm for collaborative learning environments. Highlight any experiences where you've worked in interdisciplinary teams, as this aligns with dida's team culture.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Mathematician, Physicist (w/m/d) - Hybrid
Tipps für deine Bewerbung 🫡
Understand the Company: Familiarize yourself with dida's mission and projects, especially in machine learning, computer vision, and natural language processing. This will help you tailor your application to align with their goals.
Highlight Relevant Experience: Emphasize your MSc or PhD in mathematics or physics, and any experience you have with modern machine learning approaches, particularly deep learning. Mention specific projects or code examples that showcase your skills.
Craft a Strong CV: Ensure your CV is up-to-date and clearly outlines your educational background, relevant skills, and any programming experience, especially in Python. Include any publications or research work if applicable.
Prepare Additional Documents: If you have project or code examples, consider including them as part of your application. While they are optional, they can significantly strengthen your candidacy by demonstrating your practical skills.
Wie du dich auf ein Vorstellungsgespräch bei dida Datenschmiede GmbH vorbereitest
✨Show Your Problem-Solving Skills
Be prepared to discuss specific problems you've solved in the past, especially those related to machine learning or mathematics. Highlight your creative approach and how you applied scientific advancements to find solutions.
✨Demonstrate Your Technical Knowledge
Familiarize yourself with the latest trends in deep learning and machine learning algorithms. Be ready to discuss your programming experience, particularly in Python, and any relevant projects or code examples you can share.
✨Engage with Their Projects
Research dida's current projects, such as the solar panel estimation and legal text classification. Prepare thoughtful questions or insights about these projects to show your genuine interest and understanding of their work.
✨Emphasize Collaboration and Learning
Highlight your ability to work in interdisciplinary teams and your enthusiasm for collaborative learning. Share experiences where you contributed to a team environment and how you keep up with advancements in your field.
