AI Fund
AI Engineer
About this role
Join our team as an AI Engineer to design and deploy machine learning solutions that power our products. You'll work on cutting-edge AI systems, from model development through production implementation, collaborating with cross-functional teams in our Mountain View headquarters.
What you'll do
- Develop and train machine learning models for production systems
- Design scalable AI architectures and pipelines
- Collaborate with product and engineering teams on AI feature integration
- Optimize model performance and manage deployment workflows
- Conduct research on emerging AI techniques and technologies
- Monitor and maintain deployed models in production
What they're looking for
- Machine learning frameworks (TensorFlow, PyTorch, etc.)
- Python programming
- Data preprocessing and feature engineering
- Deep learning and neural networks
- Cloud platforms (AWS, GCP, or Azure)
- Software engineering best practices
- SQL and data querying
- Model evaluation and validation
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AI Fund
AI Fund builds and invests in AI-powered applications spanning healthcare, productivity, manufacturing, and developer tools. The company is hiring AI Engineers, ML specialists, and full-stack engineers to deploy production machine learning solutions, develop AI-driven platforms for chronic care and business intelligence, and contribute to open-source AI infrastructure projects.
View all jobs at AI FundLikely interview questions
- What experience do you have building and deploying machine learning models in production environments?
- Describe a time when you had to optimize a model for latency or inference speed. What trade-offs did you consider?