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- Aufgaben: Train and refine neural networks for cutting-edge document-AI technology.
- Arbeitgeber: Join natif.ai, an innovative leader in AI-powered document automation.
- Mitarbeitervorteile: Enjoy flexible working hours, remote work options, and a competitive compensation package.
- Warum dieser Job: Be part of a creative team shaping the future of AI with exciting challenges.
- Gewünschte Qualifikationen: Degree in math, stats, physics, or computer science; experience in Machine Learning required.
- Andere Informationen: Fluent in German and/or English; open-mindedness is key!
Das voraussichtliche Gehalt liegt zwischen 43200 - 84000 € pro Jahr.
Your mission
As a Machine Learning Engineer (m/f/d) at natif.ai, you play a vital role in pushing the capabilities of our intelligent document processing technology. You leverage 15 petaflops of compute power to drive your innovations. You stay on the cutting edge by following the latest research trends, while at the same time you never have to worry about data limitations with our massive, high-quality datasets. Your main tasks are:
- You train and refine neural networks, pushing the limits of what document-AI can achieve
- You work with us on the core of our document understanding technology based on computer vision and natural language processing
- You stay updated with the latest trends in Machine Learning and implement and improve cutting-edge Machine Learning models
- You collaborate with our team to define and execute new Machine Learning initiatives
Your profile
- You are a Machine Learning Engineer with all your heart, an AI-craft(wo)man, a nerd, a geek or an AI-artist
- You hold a degree in mathematics, statistics, physics, computer science or a related field; if you have a PhD this is a plus
- You have a solid foundation in general software engineering, especially Python
- You bring deep understanding and experience in fundamental Machine Learning and Deep Learning (e.g. CNN, RNNs, transformers, etc.)
- You have hands-on experience with common Machine Learning libraries and frameworks like TensorFlow, PyTorch, OpenCV, NumPy, HuggingFace, etc.
- You are open-minded and willing to further push the boundaries of document-AI
- You are fluent in German and/or English
Why us?
- Experience innovation: Become part of an innovative company that aims to become the market leader in AI-powered document automation
- Varied Tasks: Work on diverse assignments, exciting challenges and innovative projects in a fast-growing organization
- Unleash creativity: Enjoy a high degree of freedom to develop your creative ideas and work directly with key decision makers and AI experts
- Create: Contribute your own ideas and shape the future of the company together with us
- Personal growth: We strive for excellence in everything we do and thus place a high focus on your personal and professional development
- Open corporate culture: Work in an open corporate culture with flat hierarchies and a diverse, interdisciplinary team
- Attractive compensation: Benefit from a competitive compensation package, regular team events and a variety of other benefits
- Work-life-balance: We attach great importance to work-life balance. Flexible working hours and the possibility to work from home guarantee this balance
Contact information
Your recruiter:
Charlotte Risch
Human Resources
+49 160 819 71 58
#J-18808-Ljbffr
Machine Learning Engineer (m/w/d) Arbeitgeber: natif.ai
Kontaktperson:
natif.ai HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Machine Learning Engineer (m/w/d)
✨Tip Number 1
Stay updated with the latest trends in Machine Learning. Follow relevant research papers, attend webinars, and participate in online forums to engage with the community. This will not only enhance your knowledge but also show your passion for the field during interviews.
✨Tip Number 2
Showcase your hands-on experience with popular Machine Learning libraries like TensorFlow and PyTorch. Consider working on personal projects or contributing to open-source projects that utilize these frameworks to demonstrate your skills and creativity.
✨Tip Number 3
Network with professionals in the AI and Machine Learning space. Attend meetups, conferences, or online events where you can connect with industry experts. Building relationships can lead to valuable insights and potential referrals for job opportunities.
✨Tip Number 4
Prepare to discuss your previous projects and experiences in detail. Be ready to explain the challenges you faced, how you overcame them, and the impact of your work. This will help you stand out as a candidate who is not only knowledgeable but also practical in applying your skills.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Engineer (m/w/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Machine Learning Engineer position at natif.ai. Understand the key responsibilities and required skills, especially in areas like neural networks, computer vision, and natural language processing.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, and OpenCV. Provide specific examples of projects where you have successfully implemented these technologies.
Showcase Your Passion: Express your enthusiasm for AI and document processing in your application. Mention any personal projects, research, or contributions to the field that demonstrate your commitment and creativity as a Machine Learning Engineer.
Tailor Your Application: Customize your CV and cover letter to align with the values and culture of natif.ai. Highlight your ability to work in a team, your open-mindedness, and your willingness to push the boundaries of document-AI.
Wie du dich auf ein Vorstellungsgespräch bei natif.ai vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Machine Learning frameworks like TensorFlow and PyTorch. Bring examples of projects where you've trained neural networks or implemented cutting-edge models, as this will demonstrate your hands-on expertise.
✨Stay Updated on Trends
Research the latest trends in Machine Learning and AI, especially in document processing. Being able to discuss recent advancements or papers will show your passion for the field and your commitment to staying at the forefront of technology.
✨Emphasize Collaboration
Highlight your ability to work in a team environment. Discuss past experiences where you collaborated on Machine Learning initiatives, as this aligns with the company's focus on teamwork and innovation.
✨Express Your Creativity
Since the role encourages creativity, be ready to share your ideas on how to push the boundaries of document-AI. This could include innovative approaches you've considered or projects you'd like to explore, showcasing your enthusiasm for contributing to the company's future.
