Senior Machine Learning Engineer
5 days ago
Hiring: Senior Machine Learning Engineer (Diffusion Models)
Full-Time | Onsite
We are looking for a
Senior Machine Learning Engineer
with deep, hands-on experience in
diffusion models
to build and ship production-grade generative AI systems. This role is intended for engineers who have already worked on
diffusion-based generative models in real-world products
.
Core Technical Skills (Must-Have)
- Strong experience with
diffusion models
(Stable Diffusion, SDXL, or DALL-E–style architectures) - Null-text inversion
and advanced inversion techniques - Latent-space manipulation and image editing
- Deep understanding of
attention mechanisms and cross-attention control - PyTorch
(required); TensorFlow is a plus - Image quality evaluation and optimization using
SSIM / LPIPS - Proven experience shipping
diffusion model features to production
Experience Requirements
- 5+ years
of experience in Machine Learning or Computer Vision - Either:
- Published research in generative models, or
- 3+ years
at companies such as Google, Meta, Stability AI, OpenAI, or similar - Experience deploying
diffusion models at scale - GPU optimization expertise
, including A100/H100 inference tuning, memory optimization, and batching
Red Flags (Please Do Not Apply If)
- No prior experience working with diffusion models
- Background limited to classification or detection only
- No experience shipping generative AI systems to production
Responsibilities
- Design and build advanced diffusion-based generation and editing pipelines
- Implement latent-space and attention-level control techniques
- Optimize inference performance on modern GPUs
- Deliver production-ready generative AI features
Why Join Us
- Work on advanced generative AI systems
- High ownership and direct impact on the product
- Competitive compensation aligned with senior-level expertise
-
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