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