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Machine Learning Engineer
vor 4 Wochen
We are looking for Machine Learning Engineers who have solid hands-on experience in relevant research areas (speech and NLP). We are working on some problems that are NOT solved yet, so you should have a good understanding of state-of-the-art deep learning networks and their implementation/optimisation.
TasksDepending on your profile, you will work on the following topics:
- Developing versatile, robust and time-aligned Automatic Speech Recognition (ASR) systems, focusing on processing both disordered and non-disordered speech/language.
- Designing innovative speech encoding model architectures aimed at extracting and separating semantic and acoustic elements from speech.
- Leveraging state-of-the-art models such as multimodal LLMs to help extend our innovative neurological rehabilitation platform and tailor it to our patients needs.
- Anomaly detection for natural language
- Implementing optimised Model Serving Solutions in the Cloud
Minimum:
- Passion for machine learning
- Master’s degree in Mathematics/Statistics, Computer Science, Data Science, Machine Learning or equivalent.
- Very good Python programming skills
- Practical experience with PyTorch or TensorFlow
- Experience or interest in creating optimized and secure serving infrastructures for ML Model Deployments in the Cloud.
- Experience or interest in performance optimisation for machine learning solutions (pruning, distillation, Tensor-RT, etc.)
- Hands-on experience with multi-GPU/TPU training for complex network architectures in the cloud.
- Proficient in handling large datasets (terabytes scale) efficiently
- Competitive salary - minimum salary €60,000 p.a., but clear willingness to overpay according to concrete qualification
- An exciting workplace in our new office at Vienna’s Naschmarkt (5th district).
- A super motivated team with whom you will develop never seen before solutions on the whiteboard
- Exciting application areas of Machine Learning in practice
- €2,500 budget that you can spend freely on your setup (laptop, display, etc.)
- Magical atmosphere in a fast paced environment with like minded people
- Some of the best Mario Kart drivers in the Austrian startup scene ;)
The process
- Getting to know each other (~30mins discussing past projects and interests)
- Technical interview (~45-60mins of coding)
- Meet the team (~1h of discussing solutions with people from different teams)
- Final decision
We are seeking individuals who are energized by the prospect of using their skills to help others and who are committed to our mission.
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