Machine Learning Engineer

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.

Depending 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.