# Senior Machine Learning Engineer

**Company:** [Arcade](https://hotfix.jobs/companies/arcade)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $180k – $300k/yr
**Experience:** 5+ years
**Skills:** PyTorch, Diffusers, Transformers, Lora, Peft, Deepspeed, Ray, Hugging Face, Python, TypeScript, Next.js
**Posted:** 2026-03-30

> Builds and fine-tunes generative ML models for image, video, and text to create brand-aligned content. Collaborates with design, engineering, and product teams to prototype, evaluate, and deploy production APIs. Requires 5+ years ML experience with PyTorch and modern tooling.

## Job Description

## 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

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