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Senior Staff MLE - Dynamic Pricing at Temporal Technologies - ApplyBlast

Senior Staff MLE - Dynamic Pricing

Temporal Technologies

4 months ago

Remote

Full Time

Senior

0 applicants

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About this role

A Senior Staff Machine Learning Engineer at tem will own the technical direction and mathematical formulation for Rosso, the company's core AI-driven pricing infrastructure. The role involves solving complex stochastic optimization problems, building production-grade models in Python, and ensuring the system optimizes for margin and portfolio balance. You will set the roadmap, collaborate with MLOps and engineering teams, and act as the authority on pricing ML strategy to drive global expansion.

Responsibilities

Define and formulate the mathematical foundation for real-time pricing algorithms
Build and ship production-grade ML models independently from conception to deployment
Optimize risk management and balancing decisions using probabilistic modeling
Set the technical roadmap for Rosso as the company's core intellectual property
Bridge complex model behavior for commercial, product, and engineering stakeholders

Skills

Qualifications

PhD in StatisticsPhD in Applied MathematicsPhD in Operations ResearchPhD in Quantitative Disciplines

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.