Summary: Join Temporal, a leading Solana native Research & Development firm, as a Machine Learning Engineer. Contribute to cutting-edge projects by designing, training, and deploying predictive models for adversarial systems while building high-performance ML infrastructure. Stay at the forefront of technological advancements by engaging with the latest research and contributing to open-source development.
Responsibilities:
- Design, train, and deploy predictive models for adversarial systems
- Build and maintain high-performance ML infrastructure that scales from research prototypes to production systems
- Stay on the frontier: read new papers, reproduce results, experiment with hardware, and contribute to open source
Required Skills:
- Deep foundations in optimization, statistics, and linear algebra
- Expertise in ML frameworks (ideally PyTorch) and strong software engineering skills
- Experience building real-time or distributed ML systems
- Curiosity, independence, and a track record of original contributions (research, open source, competitions, patents)
Compensation: $200,000–$300,000 base salary, equity package, and discretionary bonus
Top Skills
What We Do
Temporal is a crypto-native research and development firm. We work with cutting-edge teams on complex technical, mechanism, and strategic problems, primarily in the Solana ecosystem.
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