# Senior Machine Learning Engineer

**Company:** [Raspberry AI](https://hotfix.jobs/companies/raspberry-ai)
**Location:** Remote
**Role:** ML Engineering
**Experience:** 3+ years
**Skills:** Diffusion Models, PyTorch, Gans, Vaes, AWS, GCP, Azure, Multimodal Llms, Deep Learning, Generative AI
**Posted:** 2025-08-17

> Develops and optimizes diffusion models and generative AI for fashion design software. Conducts research, implements techniques for design quality and controllability, and deploys to production. Requires Master's/PhD, 3+ years experience, PyTorch proficiency.

## Job Description

## Responsibilities
- Conduct applied research and experimentation on state-of-the-art diffusion model architectures and training techniques.
- Implement and evaluate novel techniques for improving quality and controllability in generated designs.
- Analyze and interpret experimental results, draw meaningful conclusions, and communicate findings effectively.
- Collaborate closely with the team to translate prototypes into production-ready systems.
- Stay abreast of the latest advancements in diffusion models, deep learning, and generative AI research.

## Requirements
- Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
- **3+ years** of industry experience.
- Strong theoretical and practical understanding of deep learning, with a focus on **generative models** (e.g., **GANs**, **VAEs**, **Diffusion Models**).
- Hands-on experience with deep learning frameworks such as **PyTorch**.
- Experience with training and evaluating generative models on cloud GPU platforms (e.g., **AWS**, **GCP**, **Azure**).
- Proficiency in using and tuning **multimodal LLMs**, including experience with both API-based and open-source model implementations.
- Ability to effectively present complex technical information to both technical and non-technical audiences.

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