HubMub
-
GRAI

Deep Learning Engineer

GRAI
Poland · Full-time · Entry
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!

Key Skills

Ranked by relevance

deep learning ai containerization pytorch docker cloud aws gcp
Login to Apply
🇵🇱

Country Guide

Poland

Fast-growing Central European IT hub

Posted
Sep 23, 2025
Type
Full-time
Level
Entry
Location
Warsaw
Company
GRAI

Industries

IT System Custom Software Development

Categories

Engineering Information Technology

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
GRAI
Related

Research Engineer

2026-07-03

Full-time
Not Applicable
Poland
IT System Custom Software Development
Engineering
View Job Details
TE Connectivity
Related

SME Engineer - Artificial Intelligence & Data Science (F/M/D)

2026-07-02

Full-time
Associate
Poland
Appliances
Engineering
View Job Details
Ingenio Global
Related

DevOps Engineer | €65k

2026-07-03

Full-time
Mid-Senior
Ireland
Software Development
Engineering