Чёткая ответственность за оценку моделей и решения о релизе, востребованная сфера генеративного ИИ и зарплата выше рыночного ориентира делают вакансию сильной; регулярное присутствие во Фрайбурге заметно ограничивает выбор по локации.
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Привязка к местуЧёткая зона ответственностиОплата выше рынкаПередовой ИИ
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Product Research Lead (Generative AI): Defining evaluation strategies, model improvement priorities, and release quality standards for advanced generative models with an accent on eval design, fine-tuning, reinforcement learning, and customer-driven model development. Focus on diagnosing quality regressions, ranking model weaknesses from incomplete signals, and making go/no-go decisions for new releases.
Location: Freiburg, Germany; hybrid attendance required at least 2 days per week or one full week every other week
Salary: $172,000–$220,000 base annually, plus equity, depending on profile
Company
Black Forest Labs develops foundational generative AI technologies including Latent Diffusion, Stable Diffusion, and FLUX models for image and video creation.
What you will do
Lead Product Research between model research teams and the market.
Own the product-facing evaluation taxonomy, strategy, and evaluation runs.
Turn evaluations, leaderboards, customer feedback, and usage data into ranked model improvement priorities.
Set priorities for Applied Researchers conducting fine-tuning and reinforcement learning for core models and customer-specific variants.
Define the data required to measure and improve model quality.
Co-lead model releases, owning quality go/no-go decisions and capability claims.
Requirements
Product or research management experience working directly on generative models.
Technical depth in evaluation design, fine-tuning, and reinforcement learning.
Experience defining model improvement goals and driving research teams to act on them.
Experience turning model weaknesses into ranked priorities or owning evaluation for a model release.
Strong judgment in ambiguous, fast-changing research environments and end-to-end prioritization ownership.
Ability to work from Freiburg with regular in-person attendance.
Nice to have
Hands-on evaluation or machine learning engineering experience.
Experience with diffusion or video models.
Culture & Benefits
Distributed team with real offices in Freiburg and San Francisco.
Reasonable travel costs covered for required Freiburg attendance.
Research culture focused on scientific rigor, open science, and deep technical understanding.
Values include high standards, low ego, bold execution, and kindness.
Compensation includes base salary and equity.
Hiring process
The interview process will clarify how the regular Freiburg in-person schedule will work for the role.
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