06 Sep
|
Wiingy
|
Bengaluru
The role
We are looking for an Applied Research Lead, Music AI & Benchmarking to become Wiingy AI's internal authority on generative music models, music datasets and model evaluation. You should understand how modern text-to-music and generative-audio systems are built, trained, fine-tuned, controlled and evaluated.
Your primary mandate will be to build, launch and continuously advance Wiingy AI's global music benchmark. The benchmark should provide a transparent and technically rigorous way to compare music models across genres, cultures, languages, musical tasks and real-world creative use cases.
You will own the benchmark as a continuing research program. This includes its methodology, prompt and evaluation sets, expert and listener panels, technical harness, release cadence, public leaderboard and research roadmap. You will also guide internal teams and translate customer problems into rigorous evaluation and dataset designs.
Primary mandate: build a global music benchmark
Benchmark strategy: Define what the benchmark will measure,
which users it will serve and how it will remain credible, differentiated and helpful as music-generation technology changes.
Scope and task design: Establish the initial scope for text-to-music generation, including instrumental music and songs with vocals. Create a roadmap for continuation, variation, editing, inpainting, stem generation and other creative tasks.
Global musical coverage: Design coverage across genres, musical traditions, cultures, languages, instruments, ensemble types, vocal styles and production aesthetics without reducing quality to one universal definition of good music.
Prompt and test-set design: Build representative prompts and evaluation cases covering simple attributes, complex compositions, references to structure and instrumentation, creative constraints and adversarial conditions.
Model and version policy: Define how models, model versions, generation settings, seeds, clip lengths and system configurat
📌 Applied Research Lead (Bengaluru)
🏢 Wiingy
📍 Bengaluru