Explainable AI Engineer & Research Scientist

Seekr; Austin (TX); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Unlimited PTO

401(k) with Company Match

Equity Ownership

Comprehensive Health & Wellness

Parental Leave

Job summary

Seekr, located in Austin, TX, is seeking candidates to develop AI explainability capabilities, focusing on machine learning and modern AI systems. This role emphasizes translating cutting-edge research into production quality features.

The ideal candidate will have a strong background in AI and machine learning, proficiency in Python, and experience with Kubernetes. The position supports hybrid work with a competitive compensation package.

Qualifications

• Strong background in machine learning and modern AI systems.
• Ability to move comfortably between research and engineering.
• Experience designing experiments and evaluating ambiguous technical trade-offs.
• Fluency with AI coding assistants and modern developer workflows.

Responsibilities

• Design and build explainability capabilities for AI models.
• Work on hallucination detection and mitigation.
• Translate promising ideas into prototypes.
• Contribute across the AI system lifecycle.

Skills

Machine learning

Python

AI coding assistants

Software engineering fundamentals

Collaboration

Experiment design

Education

Master’s or PhD in computer science, machine learning, AI, or statistics

Tools

Kubernetes

CI/CD

API/SDK development

Vector databases

Job description

Seekr, located in Austin, TX, is seeking candidates to develop AI explainability capabilities, focusing on machine learning and modern AI systems. This role emphasizes translating cutting-edge research into production quality features.

The ideal candidate will have a strong background in AI and machine learning, proficiency in Python, and experience with Kubernetes. The position supports hybrid work with a competitive compensation package.