Homeoffice Machine Learning Researcher Jobs

Aktuell sind 3 Homeoffice Machine Learning Researcher Jobs in Österreich für September 2023 ausgeschrieben.
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Aktuelle Home Office Jobs

Senior Solution Engineer (Data Scientist), German speaker (f/m/d)
bei DeepOpinion
16. Sep.
100% Homeoffice oder Innsbruck
Vollzeit
70.000€ – 90.000€
- Transform data from customers into high-quality input for machine learning and data analysis
- This involves data gathering from web API's, exploratory data analysis, data cleaning, transforming data, data validation, and optimization of data label quality for the training of high-performance machine learning models
- Collaborate and communicate internally with the customer success, machine learning & product engineering team
Senior Machine Learning Engineer (f/m/d)
bei XUND Solutions GmbH
15. Sep.
100% Homeoffice oder Wien
Vollzeit
ab 3.455€
- Develop, validate and deploy machine learning models to solve healthcare problems
- PhD or equivalent industry experience data science or machine learning
- Professional experience in the application of machine learning methods to real data
- Software development experience with Python and its machine learning ecosystem (e.g. PyTorch, scikit-learn)
- Publication record in the field of machine learning or healthcare
- Experience with Explainable AI (XAI), Causal ML or knowledge representation in medicine
Senior Machine Learning/Computer Vision Engineer - Image Generation (m/f/x)
bei Canva
02. Sep.
100% Homeoffice oder Wien
Vollzeit
ab 60.000€
- By using cutting-edge AI/ML techniques, you'll help deliver an incredible AI-powered content generation experience to our users
- Experiment on large-scale cloud infrastructure (GCP and AWS) with high-end hardware, being mostly NVIDIA A10 and A100 Tensor Core GPUs, together with our ML Ops specialists
- D.) degree in Computer Science (or similar), focusing on machine learning
- Proficiency with the following technologies is required to be set up for success in this position: Deep learning frameworks such as PyTorch and Tensorflow (we use PyTorch), Python 3, Numpy, OpenCV, Docker & Kubernetes
- Our projects require picking up knowledge of the state-of-the-art of a specific ML topic quickly since most projects start with a phase of literature research and communicating the context to the team (across timezones)