Senior Machine Learning Engineer

Responsibilities

• Own the ML stack end-to-end: Evaluate hosted models, fine-tune open-source ones, and build scalable pipelines for image, video, and text generation.
• Develop brand-aligned generation systems: Create techniques for tone, color, and style fidelity across mediums.
• Improve generation quality: Build internal evaluation frameworks to measure realism, brand match, and creative diversity.
• Prototype and ship: Rapidly turn research ideas into productized APIs that power Arcade's content generation features.
• Collaborate cross-functionally: Work with design and marketing to define "on-brand," and with engineers to integrate ML systems into production.
• Lay the foundation for content optimization: Build data pipelines connecting engagement metrics to model tuning.

Requirements

• Strong Python + ML engineering background (PyTorch, diffusers, transformers, or similar).
• Minimum 5 years experience with hands-on experience fine-tuning or training open-source models.
• Deep familiarity with modern inference and training tooling (LoRA, PEFT, DeepSpeed, Ray, Hugging Face, etc.).
• Portfolio or prior work demonstrating creative use of generative models (visuals, videos, text, etc.).
• Comfort operating across research, engineering, and product — shipping real features, not just experiments.

Nice to Have

• Familiarity with TypeScript/Next.js and integrating ML APIs into frontend products.

Compensation

• $180k-$300k, plus meaningful equity