Senior Machine Learning Engineer

🕒 March 31

🏢🏡 San Francisco – Hybrid

💵 $180k - $300k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Arcade

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2021

🤝 B2B

☁️ SaaS

B2B • Software • SaaS

Arcade is a company that provides a platform for creating interactive product demos quickly and efficiently. With a focus on enhancing storytelling, Arcade allows users to build, collaborate, and scale their demos with ease, integrating features that boost engagement and drive action. The platform is designed for various teams, including marketing, sales, and customer success, facilitating seamless product presentations and educational content without the need for technical skills.

📋 Description

• 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 what “on-brand” means, 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.

🏖️ Benefits

• Unlimited PTO • Rich health/401(k) plans • Meeting-light culture • Remote stipend • Biannual retreats