Machine Learning Engineer
Location: Bay Area candidates welcome (remote possible)
About Eidon AI
We are a team of AI and Crypto researchers and engineers (from DeepMind, Google Web3, and other leading AI/Crypto companies) with a long-term mission to co-create a fully decentralized AI stack — trustless, permissionless, and fairly compensating contributors to benefit all of humanity.
Our first focus areas:
- Decentralizing data
- Building personalized AI agents
We are a small, highly motivated team with a flat structure, emphasizing:
- Engineering excellence
- Ownership and initiative
- Intellectual curiosity
- Hands-on contribution
- Strong communication and collaboration
We are proudly funded by top-tier VCs from Silicon Valley.
Job Description
Eidon AI is seeking a Machine Learning Engineer to develop and maintain our ML infrastructure and collaborate with the AI research team. This role bridges theoretical research with practical implementation, ensuring our ML systems are robust, scalable, and efficient.
Responsibilities
- Design, develop, and maintain ML infrastructure and pipelines.
- Implement complex ML algorithms alongside AI researchers.
- Optimize ML models for production deployment and scaling.
- Build and maintain monitoring and evaluation systems for ML models.
- Translate theoretical advances into practical, deployable ML solutions.
- Contribute to the development of novel ML systems for decentralized networks.
Requirements
- Degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
- Strong experience in machine learning engineering and infrastructure.
- Proficient in ML frameworks (e.g., PyTorch, TensorFlow).
- Experience with ML deployment, monitoring, and evaluation tools.
- Strong programming skills in Python and other relevant languages.
- Experience with distributed computing and large-scale ML systems.
- Familiarity with MLOps best practices and tools.
- Knowledge of decentralized systems and blockchain technology (a plus).
- Strong mathematical, algorithmic, and problem-solving skills.
- Experience with cloud platforms and containerization (e.g., Kubernetes, Docker).
At Eidon AI, leadership is earned through initiative and excellence. We value clear communication, hands-on contribution, and a commitment to advancing decentralized AI for the benefit of humanity.
