Machine Learning Engineer at Temporal

Machine Learning Engineer — New York, NY

Who We Are

Temporal is a Solana native Research & Development firm. We have been at the bottom of the Solana trenches for years, working on open source code alongside core teams, developing on-chain products, and running some of the highest performing validators. Our team has deep experience in high-frequency trading and low-latency systems.

What you’ll do

• Design, train, and deploy predictive models for adversarial financial and blockchain 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.

Experience

• 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).

Bonus

• Masters/PhD in ML/AI or adjacent field from a top program.
• C++ expertise and systems-level engineering experience.

Compensation & Benefits

• Compensation: $300k – $450k base + equity + performance bonus.
• Health & Wellness: Fully covered premium medical, dental, and vision.
• Lifestyle: In-office in NYC with team lunches, events, and quarterly offsites.
• Growth: Hardware/software budget for research and experiments, conference travel support.