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🏢 Striveworks · 📍 Remote or Austin, Texas, United States · 💼 remote us
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Position Summary & Responsibilities

Don’t see an open role that fits your background, but ready to build systems that work for a mission that matters? Submit your resume to join our Talent Community—we are always looking to connect with exceptional talent.

Since 2018, we have delivered the most trusted AI systems operating in real-world use cases—providing a layer of assurance underneath hundreds of deployed models that monitors performance, manages drift, and sustains systems long after they leave the lab.

We lead with trust, treat each other with respect, and use candor consistently, kindly, and constructively. We care deeply about our work, and we find genuine satisfaction in doing it well. Above all, we take ownership—because we feel the weight of collective results personally. We are looking for people who share these values and are eager to put them into practice.

🎯 Candidate Preparation Guide For Striveworks Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Evaluating MLOps mastery, secure data operations in high-security environments, and scalable deployment of machine learning pipelines.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Jupyter notebook scientist mentality with no production-grade software deployment experience.
  • 2. Hand-waves data security, provenance, and model governance concerns.
  • 3. Rigid adherence to a single ML stack rather than adapting to mission requirements.
✨ Recommended Role Alignment Hook:

I operationalize robust MLOps platforms that turn chaotic operational data into secure, deployed AI intelligence at the edge.

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