Deep Learning Engineer

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!