We are seeking a Senior Machine Learning Engineer to lead the development of next-generation multimodal and generative AI systems. You will work across the full lifecycle — research, experimentation, training, optimization, deployment, and monitoring — to build models that understand and generate content across text, images, and audio.
Requirements
- 5+ years of machine learning engineering experience
- Strong practical experience with multimodal models (text-to-image, image-to-text, cross-modal retrieval, etc.)
- Deep expertise in either computer vision or NLP with readiness to work across modalities
- Hands-on experience with generative model architectures: diffusion models, transformer-based models, or GANs
- Expert-level Python skills and extensive experience using PyTorch and the Hugging Face ecosystem (Transformers, Diffusers, Accelerate)
- Experience deploying and maintaining ML models in production, including serving, scaling, and monitoring
- Experience with cloud ML platforms such as AWS SageMaker, GCP Vertex AI, or Azure ML
- Strong analytical, creative problem-solving, and experimentation skills
- Ability to communicate complex technical concepts clearly to diverse teams
Benefits
- 100% Remote Work
- Highly Competitive USD Pay
- Paid Time Off
- Work with Autonomy
