About the role
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
Skills & Tags
Aplyr's read
Temporal is a tech innovator in workflow orchestration, attracting developers who value productivity and reliability in microservices management.
What's promising
- •Temporal's platform simplifies complex workflow management, enhancing developer productivity.
- •Open-source model encourages community contributions and rapid innovation.
- •Focus on microservices aligns with modern software architecture trends.
What to watch
- •Dependence on open-source contributions may lead to inconsistent support.
- •Niche focus on microservices might limit broader market appeal.
- •High competition in workflow orchestration could pressure market share.
Why Temporal
- •Temporal's platform uniquely targets microservices workflow orchestration.
- •Strong emphasis on open-source collaboration fosters innovation.
- •Recent hiring for Solana roles suggests a focus on blockchain technology.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Temporal
Temporal is a technology company that provides an open-source platform for building and running microservices. Their workflow orchestration technology enables developers to manage complex workflows with ease, improving productivity and reliability in software development.
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