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GRAI

Deep Learning Engineer

GRAI
Poland · Full-time · Mid-Senior
We are an innovative AI-powered music platform thats transforming how people create, explore, and experience music. Our product leverages cutting-edge AI technologies to provide personalized music recommendations and unique features tailored to every music enthusiast. As we continue to grow, were looking for a Senior Deep Learning Engineer who will play a crucial role in driving our growth and helping us reach millions of music lovers worldwide.

What Youll Do:

  • Design, develop, and optimize state-of-the-art deep learning models tailored for audio processing tasks such as speech recognition, synthesis, enhancement, and classification.
  • Architect scalable and efficient solutions for end-to-end audio pipelines, from data preprocessing to model deployment.
  • Research, implement, and fine-tune advanced models, including transformers, diffusion models, and other generative frameworks, for audio-specific applications.
  • Collaborate closely with cross-functional teams to identify project requirements, align goals, and deliver high-quality outcomes.
  • Stay ahead of the curve by actively researching and experimenting with cutting-edge techniques in audio processing and machine learning.


Who You Are:

  • Experienced: You have 5+ years of hands-on experience in deep learning, with a significant focus on audio processing applications.
  • Innovative Problem-Solver: You excel at developing creative solutions for complex audio-related challenges.
  • Collaborative Communicator: Strong ability to work with multidisciplinary teams and effectively share insights and technical knowledge.
  • Detail-Oriented: You maintain high standards for model performance, reproducibility, and scalability.


Preferred Skills:

  • Proficiency in frameworks like PyTorch or TensorFlow, with extensive experience in training and deploying models for audio tasks.
  • In-depth knowledge of signal processing techniques and tools such as librosa, torchaudio, or SciPy.
  • Experience with generative models (e.g., GANs, VAEs, diffusion models) and their applications in audio synthesis or enhancement.
  • Familiarity with large-scale training, distributed systems, and hardware accelerators (GPUs, TPUs).
  • Knowledge of speech technologies, including ASR (automatic speech recognition), TTS (text-to-speech), or SE (speech enhancement).
  • Hands-on experience with production-level deployment of machine learning models, including containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure).
  • Strong foundation in audio-specific metrics and evaluation techniques.


What We Offer:

  • A chance to work on a groundbreaking AI product in the music industry.
  • A supportive and dynamic startup culture where your ideas and contributions truly matter.
  • Flexible work environment
  • Opportunities for professional growth, development and option to become a core part of executive team


Ready to Join Us?

If youre passionate about user growth, data-driven strategies, and music, we want to hear from you! Send your CV and a brief note on why youre excited about this role!

Lets create the future of music together!

Key Skills

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deep learning ai containerization machine learning kubernetes tensorflow pytorch docker cloud excel aws gcp asr
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Country Guide

Poland

Fast-growing Central European IT hub

Posted
Jun 13, 2025
Type
Full-time
Level
Mid-Senior
Location
Warsaw
Company
GRAI

Industries

IT System Custom Software Development

Categories

Engineering Information Technology

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