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Principal MLE - Revenue Optimisation at Temporal Technologies - ApplyBlast

Principal MLE - Revenue Optimisation

Temporal Technologies

4 months ago

Remote

Full Time

Senior

0 applicants

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About this role

As a Senior Staff Machine Learning Engineer at tem, you will own the technical direction and implementation of the Rosso pricing engine, which is core IP for reactive energy trading infrastructure. This pivotal role requires setting mathematical strategies, building production-grade Python models, and solving complex stochastic optimization problems to drive autonomous market decisions. You will bridge the gap between advanced theoretical formulation and practical deployment within a high-growth, AI-native energy technology company.

Responsibilities

Define technical direction and roadmap for the pricing ML engine
Formulate complex business problems into dynamic mathematical solutions
Build and deploy production-grade machine learning models in Python
Develop probabilistic models for risk management and imbalance solving
Translate complex model behaviors into clear terms for stakeholders

Skills

About Temporal Technologies

temporal.io

Headquarters

Bellevue, Washington, United States

Company Size

51-200 employees

Founded

2019

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Temporal provides an open-source durable execution platform for building reliable, stateful, long-running applications and orchestrating microservices. It handles common distributed-systems complexity — retries, state persistence, timers, and error handling — so teams can ship features faster and make apps resilient to failures. Temporal is available as self-hosted software and a managed cloud service, with SDKs for popular languages and tooling for observability and scaling. Developers choose Temporal for its fault-tolerance, scalability, and improved developer productivity when implementing complex workflows.