Data Scientist / MLE
About the role
As a Data Scientist / MLE at AirOps, you'll shape how brands win in AI-driven search environments through advanced machine learning and data science. This role combines technical depth with strategic thinking: you'll build production-grade ML systems that directly impact how companies create and optimize content for AI agents and improve their search visibility.
You'll work at the intersection of NLP, search algorithms, and large language models to create solutions that help content teams drive measurable business results. This is a hands-on leadership position where you'll both architect systems and write code. You'll partner with product, engineering, and customer success teams to identify opportunities where ML can transform our platform's capabilities.
Qualifications
- 5+ years building production machine learning systems with demonstrated business impact; strong background in NLP and search/recommendation systems required
- Deep expertise across ML approaches: classical models (XGBoost, random forests), modern deep learning architectures (transformers, graph neural networks), and reinforcement learning systems
- Proven ability to take models from research to production, including optimization for latency and cost at scale
- Experience with ML infrastructure and tooling: model serving frameworks, experiment tracking, feature stores, and monitoring systems
- Track record of technical leadership: influencing architecture decisions, improving team practices, and driving cross-functional projects without direct authority
- Excellent communication skills with ability to explain complex technical concepts to non-technical stakeholders and align ML initiatives with business outcomes
Our Guiding Principles
- Extreme Ownership
- Quality
- Curiosity and Play
- Make Our Customers Heroes
- Respectful Candor
- Equity in a fast-growing startup
- Competitive benefits package tailored to your location
- Flexible time off policy
- Parental Leave