Research Engineer

GRAI Inc.; Poland; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

High ownership

AI-driven music frontier

Scale infrastructure

Equity

Flexible work

Job summary

GRAI Inc. in Poland is seeking someone to advance generative audio systems, spanning model development, evaluation, and data handling. You will design experiments that distinguish progress from noise and build pipelines to measure quality efficiently.

The role requires balancing quality, latency, reliability, and cost while maintaining high standards of reproducibility. Ideal candidates are curious about audio and music, comfortable owning ambiguous problems, and proficient in Python and

Qualifications

• Comfort taking ownership in ambiguous problem spaces and staying engaged with the problem until it is solved.
• Genuine interest in audio, music, and generative modeling.
• Strong habits around evaluation, reproducibility, and performance.
• Fluency in Python and PyTorch, or similar tools.

Responsibilities

• Work on generative audio systems across models, evaluation, and data.
• Design experiments that separate genuine progress from noise.
• Build evaluation and dataset pipelines that make model quality measurable and iteration faster.
• Make sound trade-offs across quality, latency, reliability, and cost.

Skills

Ownership in ambiguous spaces

Audio/music interest

Evaluation practices

Fluency in Python

Tools

Python

PyTorch

Distributed training

Job description

What you’ll do

• Work on generative audio systems across models, evaluation, and data

• Design experiments that separate genuine progress from noise

• Build evaluation and dataset pipelines that make model quality measurable and iteration faster

• Make sound trade-offs across quality, latency, reliability, and cost

What we’re looking for

• Comfort taking ownership in ambiguous problem spaces and staying engaged with the problem until it is solved

• Genuine interest in audio, music, and generative modeling

• Strong habits around evaluation, reproducibility, and performance

• Fluency in Python and PyTorch, or similar tools

Especially relevant experience

• Generative modeling, including diffusion, autoregressive methods, or hybrids

• Audio ML, or adjacent experience that transfers well, such as image generation

• Multi-GPU or distributed training

What we offer

• High ownership over important technical work

• Be at the forefront of AI-driven music innovation

• Opportunity to work on infrastructure at scale

• Competitive compensation and equity

• Flexibility in how you work