Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Develop and deploy cutting-edge deep learning models for large-scale datacenters.
- Arbeitgeber: Join a dynamic startup focused on innovative tech solutions.
- Mitarbeitervorteile: Enjoy competitive salary, flexible hours, and remote work options.
- Warum dieser Job: Be part of a collaborative team where your ideas matter and make an impact.
- Gewünschte Qualifikationen: Bachelor's or master's in relevant fields; PhD is a plus. Strong programming skills required.
- Andere Informationen: Experience with deep learning frameworks and parallel computing is essential.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Your mission
- Parallelization, production, and edge deployment of deep learning models
- Create innovative solutions for large scale datacenters
- Implement solutions for large scale datacenters in collaboration with other departments
Your profile
- Bachelor’s or master\’s degree in computer science, Electrical Engineering, Data Science, or a related field. PhD is a plus
- Proven experience in developing and optimizing deep learning models
- Strong programming skills in C or C++ or Rust
- Proficiency with deep learning frameworks (e.g. TensorFlow, PyTorch)
- Experience with CUDA, GPGPU programming, and performance optimization
- Understanding of parallel computing concepts and techniques
- Knowledge of deep learning model compilation, acceleration and interoperability technologies (e.g. ONNX, MLIR etc.)
Why us?
- Competitive salary and benefits package
- Flexible working hours and remote options
- Flat hierarchies, short decision-making paths, and plenty of room for your ideas
- Collaborative and innovative work environment
- The opportunity to be directly involved in building a startup
#J-18808-Ljbffr
Machine Learning Engineer (m/f/d) Arbeitgeber: Turba AI GmbH
Kontaktperson:
Turba AI GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Machine Learning Engineer (m/f/d)
✨Tip Number 1
Make sure to showcase your experience with deep learning frameworks like TensorFlow and PyTorch. Highlight specific projects where you implemented these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with CUDA and GPGPU programming. If you have any personal projects or contributions to open-source that involve performance optimization, be ready to discuss them in detail during the interview.
✨Tip Number 3
Understanding parallel computing concepts is crucial for this role. Brush up on relevant techniques and be prepared to explain how you've applied them in past projects or how you would approach a new problem.
✨Tip Number 4
Since collaboration is key in our work environment, think of examples where you've successfully worked with cross-functional teams. Be ready to share how you contributed to innovative solutions in those scenarios.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Engineer (m/f/d)
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in developing and optimizing deep learning models. Emphasize your programming skills in C, C++, or Rust, and any projects that showcase your proficiency with frameworks like TensorFlow or PyTorch.
Craft a Strong Cover Letter: In your cover letter, express your passion for machine learning and how your background aligns with the company's mission. Mention specific projects or experiences that demonstrate your understanding of parallel computing concepts and performance optimization.
Showcase Relevant Projects: If you have worked on projects involving CUDA, GPGPU programming, or deep learning model compilation, be sure to include these in your application. Provide links to your GitHub or portfolio to give them a clear view of your work.
Highlight Collaboration Skills: Since the role involves collaboration with other departments, mention any previous experiences where you successfully worked in a team setting. This could include cross-functional projects or contributions to open-source initiatives.
Wie du dich auf ein Vorstellungsgespräch bei Turba AI GmbH vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with deep learning frameworks like TensorFlow and PyTorch. Highlight specific projects where you optimized models or implemented solutions in large-scale datacenters.
✨Demonstrate Your Programming Proficiency
Since strong programming skills in C, C++, or Rust are essential, be ready to talk about your coding experience. You might even be asked to solve a coding problem during the interview, so practice beforehand!
✨Understand Parallel Computing Concepts
Make sure you can explain parallel computing concepts and techniques clearly. Discuss any relevant experience you have with CUDA or GPGPU programming, as this will show your depth of knowledge in the field.
✨Prepare for Collaborative Discussions
Since the role involves collaboration with other departments, think of examples where you've successfully worked in a team. Be ready to discuss how you communicate complex technical ideas to non-technical stakeholders.
