About the Role
The engineer will develop and deploy generative AI models, working closely with research and engineering teams to integrate cutting-edge technologies into scalable applications.
Responsibilities
- Design and train generative AI models for diverse use cases
- Optimize model performance and inference efficiency
- Collaborate with research teams to prototype new AI capabilities
- Translate research findings into production-grade systems
- Evaluate model outputs for quality, safety, and alignment
- Implement data pipelines for training and validation
- Monitor deployed models for performance and drift
- Contribute to version control and model documentation
- Support integration of AI features into end-user products
- Troubleshoot technical issues across the AI stack
- Participate in code reviews and system design discussions
- Ensure compliance with ethical AI guidelines
- Work with product teams to define feature requirements
- Assist in benchmarking against industry standards
- Maintain up-to-date knowledge of AI advancements
- Develop scripts for automated testing and deployment
- Collaborate on interdisciplinary projects involving NLP and computer vision
- Refactor legacy systems to support new AI functionality
- Engage in knowledge-sharing sessions with team members
- Contribute to technical roadmaps for AI initiatives
Nice to Have
- Advanced degree in computer science or related field
- Publications in AI or machine learning venues
- Contributions to open-source AI projects
- Experience with distributed training frameworks
- Familiarity with reinforcement learning
- Knowledge of multimodal AI systems
- Experience with edge deployment of AI models
- Background in human-computer interaction
- Understanding of model interpretability methods
- Prior work in ethical AI assessment
Compensation
Competitive salary based on experience
Work Arrangement
Hybrid work model with flexible scheduling
Team
Collaborative environment focused on AI innovation and product development
About the Team
The team operates at the intersection of research and product development, focusing on practical applications of generative AI. Members come from diverse technical backgrounds and collaborate across disciplines to deliver robust, user-centered AI solutions. The culture emphasizes experimentation, continuous learning, and technical excellence.
What We Value
We prioritize technical rigor, clear communication, and a collaborative mindset. Candidates should demonstrate curiosity, ownership of their work, and a commitment to building AI responsibly. Initiative and adaptability are highly valued in our fast-moving environment.
Available for qualified candidates
