TrueML

8 open remote positions

TrueML Products builds machine learning-driven products. They are a fast-growing company focused on reliability, extensibility, and availability.

Salary Distribution 7 of 8 jobs

PTO Distribution 2 of 8 jobs

Unlimited PTO 2 jobs (25%)

Benefits Overview 2 of 8 jobs

Medical (2) PTO (2) 401(k) (1) Dental (1) EAP (1) FSA (1) Life Insurance (1) Vision (1)

Open Positions

Senior DevOps Engineer

$60,000–$175,000/yr
US Canada Latin America

  • Lead the push toward a modern, cloud-native organization by designing and managing scalable, resilient systems on AWS.
  • Own the Infrastructure as Code (IaC) strategy using Terraform, ensuring environments are repeatable, versioned, and stable.
  • Build and optimize high-velocity deployment pipelines using GitHub Actions, ArgoCD, and Helm to get code from "commit" to "production" seamlessly.

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Sr. Machine Learning Engineer

$164,000–$194,000/yr
US Mexico Unlimited PTO

  • Architect the ML Ecosystem: You will own the end-to-end lifecycle of our ML infrastructure, designing a scalable, modern environment that enables models to thrive in production.
  • Productionize Innovation: Partner closely with our Data Science team to take complex algorithms from the "lab" to the "real-world", building the high-performance pipelines required to scale them.
  • Engineer Feature Intelligence: Design and maintain both offline and online feature stores, ensuring our models have the high-quality data they need for instant decision-making.

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Platform Enablement Engineer II

$40,000–$48,000/yr
Argentina Mexico Unlimited PTO

  • Independently diagnose complex system failures using advanced log analysis and database debugging.
  • Act as the "technical interpreter," distilling deep-stack architectural blockers into clear "business-speak" for stakeholders and Tier 1 support.
  • Author the "decision trees" and troubleshooting workflows that empower the rest of the company to resolve lower-tier issues independently.

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Staff Data Scientist I

$140,000–$190,210/yr
US

  • Lead complex initiatives by forming and leading cross-functional teams to deliver high-impact projects.
  • Provide architectural review and technical guidance at a departmental level, ensuring Data Science assets are scalable and cost-effective.
  • Anticipate business pivots and proactively identify opportunities where data science can solve future challenges.

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