Job Summary
Develop and enhance a multilayered system of detection models that identifies harmful or illegal content across multiple modalities. You will help bring these models into production in partnership with infrastructure, legal, and policy teams, supporting effective and responsible content moderation. This role suits an experienced machine learning engineer with a strong background in large-scale vision-language model deployment, classification, and AI safety and integrity.
Responsibilities
- Build and improve layered detection models for harmful or illegal content across different content modalities.
- Deploy models into production in collaboration with infrastructure teams, and work with legal and policy partners to align implementation with moderation requirements.
- Tune models for classification performance and contribute across the full machine learning engineering stack.
Qualifications
- Extensive experience deploying vision-language models (VLMs) at scale.
- Strong expertise in tuning machine learning models for classification tasks.
- Comfort working across the full ML engineering stack.
- Demonstrated interest in AI safety and integrity.
Black Forest Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
