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TE

Temporal

via Greenhouse

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Machine Learning Engineer

Anywhere
Full-time
Posted 3/10/2026
Direct Apply
Key Skills:
PyTorch
Machine Learning
Optimization

Compensation

Salary Range

$70K - 120K a year

Responsibilities

Design, train, and deploy predictive models for adversarial systems and maintain ML infrastructure.

Requirements

Strong foundation in optimization, statistics, linear algebra, ML frameworks, and proven independent contributions.

Full Description

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

This job posting was last updated on 3/11/2026

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