1 day ago
Responsibilities
- Lead end-to-end machine learning initiatives from ideation to production.
- Design, develop, and deploy machine learning systems for large-scale content processing.
- Advance capabilities in natural language understanding and multimodal AI.
- Define evaluation methodologies for model performance assessment.
- Collaborate with cross-functional teams to influence technical strategy.
- Mentor engineers and promote best practices in machine learning engineering.
Requirements
- Solid experience in developing and deploying machine learning systems in production.
- Experience with large-scale machine learning architectures and substantial datasets.
- Deep knowledge of machine learning, deep learning, and modern AI technologies.
- Hands-on experience with large language models and their deployment.
- Ability to build evaluation frameworks and quantify model performance.
- Experience influencing technical direction across cross-functional teams.
- Strong communication skills for conveying complex machine learning concepts.
- Experience with NLP, prompt engineering, and multimodal machine learning systems.
- Curiosity about emerging AI technologies and their integration into workflows.
Benefits
- Flexible work arrangements with the option to work from home.
- In-person meetings to foster collaboration.
Categories
AI & MLData Science