About the Role
Design and implement deep learning architectures for generative visual models, with a focus on scalability, efficiency, and real-world deployment.
Responsibilities
- Develop novel deep learning algorithms for image generation and manipulation
- Optimize model performance across diverse hardware platforms
- Collaborate with research teams to transition prototypes into production systems
- Evaluate and improve training stability for large-scale generative models
- Contribute to the design of multimodal architectures combining vision and language
- Debug and refine model outputs to meet quality benchmarks
- Implement distributed training strategies for large neural networks
- Work closely with software engineers to integrate models into end-user applications
- Stay current with advancements in generative AI and computer vision
- Publish findings in top-tier conferences and journals
- Mentor junior engineers on best practices in deep learning development
- Analyze failure modes in generative systems and propose corrective measures
- Support the creation of datasets tailored for visual generation tasks
- Develop evaluation metrics specific to generated visual content
- Ensure models adhere to ethical and safety guidelines
- Participate in cross-functional planning for AI product roadmaps
- Improve inference speed and memory efficiency of deployed models
- Conduct ablation studies to validate architectural choices
- Assist in defining model versioning and reproducibility standards
- Collaborate on benchmarking efforts against state-of-the-art methods
- Integrate feedback loops for continuous model improvement
- Design pipelines for real-time image generation applications
- Support deployment of models in cloud and edge environments
- Contribute to open-source projects related to generative AI
- Engage in peer reviews of technical designs and research proposals
Compensation
Competitive salary and comprehensive benefits package
Work Arrangement
Hybrid work model with flexibility based on team and location
Team
Part of a research-driven team focused on advancing generative models in computer vision
Why This Role Matters
Generative AI is transforming how visual content is created and used across industries. This role directly contributes to advancing the state of the art in image synthesis, enabling new applications in design, entertainment, and scientific visualization.
What We Offer
Access to cutting-edge GPU infrastructure, opportunities to collaborate with world-renowned researchers, and the ability to influence the future of AI-driven visual technologies.
Available for qualified candidates requiring work authorization
