Aktuelle Jobs im Zusammenhang mit Senior 3D Machine Learning Scientist - Berlin - AlignTech
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Senior Machine Learning Research Scientist
vor 3 Wochen
Berlin, Berlin, Deutschland Pfizer VollzeitAbout the RolePfizer's Machine Learning Hub is seeking a highly skilled and experienced machine learning researcher to design and implement new machine learning tools to accelerate drug discovery. As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer's proprietary data and external datasets to...
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Senior Machine Learning Research Scientist
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Senior Machine Learning Research Scientist
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Senior Machine Learning Research Scientist
vor 1 Woche
Berlin, Berlin, Deutschland Pfizer VollzeitJob SummaryPfizer's Machine Learning Hub is seeking a highly skilled and experienced machine learning researcher to design and implement new machine learning tools to accelerate drug discovery. As a member of our Machine Learning Research team, you will work on designing new approaches to derive insights from Pfizer's proprietary data and external datasets...
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Senior Machine Learning Research Scientist
vor 1 Woche
Berlin, Berlin, Deutschland Pfizer VollzeitJob SummaryPfizer's Machine Learning Hub is seeking a highly skilled and experienced machine learning researcher to design and implement new machine learning tools to accelerate drug discovery. As a member of our Machine Learning Research team, you will work on designing new approaches to derive insights from Pfizer's proprietary data and external datasets...
Senior 3D Machine Learning Scientist
vor 4 Monaten
**Join a team that is transforming smiles, changing lives.**
Ready to join us?
**About this opportunity**
To strengthen our exocad ML/AI team in Darmstadt we are looking for you as
**Senior 3D Machine Learning Scientist (m/w/d)**
Start date: 01.09.2024 or later
We are seeking a talented and driven individual to join our team as a Senior 3D Machine Learning Scientist. In this role, you will have the exciting opportunity to contribute to the advancement of our cutting-edge dental software solutions. Your primary responsibility will be to improve existing 3D machine learning models by adapting and training them, making crucial decisions about data collection and labeling. Additionally, you will play a vital role in designing novel machine learning algorithms to tackle real-world problems in the dental industry.
**In this role, you will***
- Develop and improve machine learning models for 3D tooth shape generation. This entails:
- Building data pre
- and post-processing pipelines
- Adapting, implementing and training 3D geometric machine learning models
- Work on numerical optimization algorithms to complement the ML models
- Work closely with our dentists and dental technicians to build domain knowledge into the algorithms
- Optimize test-time ML pipelines for speed and memory usage
- Build processes to validate performance and robustness of the test-time ML pipelines
**In this role, you’ll need**
- a bachelor's degree in informatics or similar education
- A strong background in Computer Graphics / Computer Vision / Machine Learning
- 5+ years of experience in Python and the following libraries:
- PyTorch
- 3D geometry processing libraries such as trimesh, pymeshlab, open3d, libigl
- Standard data processing libraries such as numpy, opencv, scikit, scipy
- Profound knowledge of CI/CD, DevOps, MLOps, Unit Tests
- Experience with 3D / geometric machine learning architectures
- Knowledge about the most common neural network architectures such as AE, VAE, MLP, CNN, transformer, GAN, diffusion model
- Knowledge about generative AI
- The ability to work on cutting-edge research projects, while having a product mindset
**Nice to have***
- Some dental knowledge
- Some experience with C++
- Some experience with other ML frameworks, such as TensorFlow
- Some experience with parallel computing / code optimization
- Some experience developing mathematical optimization algorithms
- Some experience in cloud computing / deployment including AWS, Docker
**What we offer you **
- Exciting and varied activities in a dynamic and growth-oriented software company
- Positive working atmosphere that promotes both individual freedom and responsibility
- Strong team spirit and very good working atmosphere
- Modern offices and workstations, working with the latest technologies
- Flexible working hours
- Hybrid work, Monday and Friday home office is possible
- Training opportunities
- Company events
- Sports opportunities and work-life balance
- Free drinks, fruit and snacks / Canteen with own cook
- Good transport connections
- JobTicket/JobBike
**Sound like a good fit?**
Not the right fit? You can join our Talent Community to receive notifications of new job postings in your desired career area or can click on the "Share Job" social media buttons to share this opportunity with others in your network.
**About Align**
Align Technology is a publicly traded medical device company that is changing lives through better smiles. Our global team of talented employees develop innovative technology, tools and treatment options to help dental professionals worldwide achieve the clinical results they expect. Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners and OrthoCAD digital services. Did you know? Align is the world’s largest manufacturer of custom 3D-printed materials.
By joining Align, you will be part of a global, fast-growing company in one of the most dynamic industries. Great people, innovative technologies, and meaningful work - these are just some of the things employees say make Align Technology a great place to work.
Align Technology is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We also respect your privacy. Please review our Applicant Privacy Policies for additional information.
