nyra health

Machine Learning Engineer

Job description

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.


Tasks

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


Requirements

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


Benefits

  • 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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