GRAI
Deep Learning Engineer
GRAIPoland2 days ago
Full-timeEngineering, Information Technology
We are an innovative AI-powered music platform that’s 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, we’re looking for a Deep Learning Engineer who will play a crucial role in driving our growth and helping us reach millions of music lovers worldwide.

What You’ll Do:

  • Design, develop, and optimize deep learning models for tasks involving generation and diffusion, with a preference for applications in audio processing.
  • Implement, fine-tune, and evaluate state-of-the-art architectures, including diffusion models and other generative frameworks.
  • Collaborate with the research team to adapt and innovate on existing algorithms for unique challenges.
  • Develop pipelines for data preprocessing, augmentation, and efficient training of large-scale models.
  • Monitor and analyze model performance using metrics, ensuring alignment with project goals.
  • Stay updated with the latest advancements in generative models
  • Collaborate with engineering teams to integrate models into production systems and optimize for scalability and efficiency.

Who You Are:

  • Experienced: You have 3+ years of professional experience in deep learning, with hands-on work involving generative models.
  • Mathematically Proficient: Strong foundation in linear algebra, probability, and optimization, enabling a deep understanding of model mechanics.
  • Innovative: You thrive on creating and refining state-of-the-art models, finding new ways to tackle challenging generative tasks.
  • Detail-Oriented: You rigorously test and fine-tune models to ensure high-quality outputs.
  • Collaborative: You communicate effectively with multidisciplinary teams to align technical work with broader objectives.

Preferred Skills:

  • Strong proficiency with frameworks like PyTorch or TensorFlow.
  • Experience in designing and training diffusion models, GANs, VAEs, or transformers.
  • Knowledge of audio processing techniques and familiarity with libraries like librosa or torchaudio.
  • Understanding of large-scale training strategies, distributed training, and GPU/TPU optimization.
  • Familiarity with prompt-based or conditioned generation tasks.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Background in handling datasets for audio, image, or text generation tasks.

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 you’re passionate about user growth, data-driven strategies, and music, we want to hear from you! Send your CV and a brief note on why you’re excited about this role! Let’s create the future of music together!

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