Senior ML Engineer developing and scaling multitemporal, multimodal models for Earth observation using satellite imagery at LiveEO. The role involves applied research and engineering with real - world impacts.
About the role
- Product-minded Machine Learning Engineer at Arcade crafting generative models and solutions. Collaborating across design, engineering, and product to create innovative content features.
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 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
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