About the Role
The position involves leading the development of generative AI models, working with large datasets, and translating research into scalable applications while collaborating with engineering and product teams.
Responsibilities
- Design and implement generative AI models for real-world applications
- Develop scalable machine learning pipelines using modern frameworks
- Collaborate with research teams to prototype new AI capabilities
- Optimize models for performance, accuracy, and deployment efficiency
- Analyze and interpret complex datasets to inform model design
- Work closely with software engineers to integrate AI components
- Stay current with advancements in generative AI and deep learning
- Contribute to technical documentation and system architecture
- Evaluate ethical implications and biases in AI outputs
- Support deployment of models in production environments
- Troubleshoot and resolve issues in model performance
- Participate in peer reviews of code and model designs
- Translate business requirements into technical AI solutions
- Mentor junior team members on AI best practices
- Ensure compliance with data privacy and security standards
- Conduct experiments to validate model effectiveness
- Utilize cloud platforms for distributed computing tasks
- Apply natural language processing techniques to generative tasks
- Monitor system performance post-deployment
- Collaborate on interdisciplinary projects involving AI and data science
Nice to Have
- PhD in a relevant technical discipline
- Published research in AI, NLP, or machine learning
- Hands-on experience with diffusion models
- Contributions to open-source AI projects
- Experience with reinforcement learning techniques
- Background in software engineering best practices
- Knowledge of data governance frameworks
- Familiarity with model explainability tools
- Experience mentoring data science teams
- Project leadership in AI product development
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with flexibility for remote collaboration
Team
Cross-functional team focused on advancing AI-driven solutions
About the Team
The team operates at the intersection of research and product development, focusing on bringing cutting-edge generative AI technologies to market. Members work in agile cycles, emphasizing rapid prototyping and iterative improvement.
Technology Stack
Primary tools include Python, PyTorch, Hugging Face, AWS SageMaker, Docker, Kubernetes, and Git. The stack supports end-to-end model development from experimentation to deployment.
Available for qualified candidates
