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Machine Learning Engineer
| Company | Kiddom |
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| Location | San Francisco, CA, USA |
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| Salary | $175000 – $250000 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Mid Level, Senior |
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Requirements
- Masters degree in Computer Science, Computer Engineering, relevant technical field
- At least 3+ year working with generative AI models
- Work or academic experience in AI, machine learning, and deep learning technologies
- Work or academic experience in generic programming languages such as Python
- Hands-on experience with generative AI technologies, including prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning, and evaluation of large language model applications
- Proficiency in Python programming and version control
- Strong understanding of the latest AI trends and practices to maintain state-of-the-art solutions
Responsibilities
- Track and analyze emerging AI systems, focusing on applications and environments related to security and safety
- Develop a platform for AI data training, fine tuning, evaluation and other AI related needs
- Work on foundational models with built in security principles
- Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features
- Contribute to our overall machine learning culture as an early member of the team
Preferred Qualifications
No preferred qualifications provided.
