AirOps

AirOps

Data Scientist / MLE

New York

Sponsorship not specifiedDetected 71 days ago
AlgorithmsMachine LearningDeep LearningData ScienceNLPLLMsAgentic AIMLOpsCustomer SuccessResearchLeadershipCommunication

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 is a hands-on leadership position where you'll both architect systems and write code.
  • Your work will directly influence how thousands of brands adapt to the rapidly changing search landscape where AI shapes discovery and engagement.

Responsibilities

  • Search and Content Intelligence: Build ML systems that analyze AI search behavior, identify content opportunities, and predict performance across different AI-driven platforms.
  • Create algorithms that help brands understand and optimize for how AI agents discover and rank content.
  • Cross-functional Partnership: Collaborate with product managers to translate business requirements into technical solutions.
  • 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.
  • You'll partner with product, engineering, and customer success teams to identify opportunities where ML can transform our platform's capabilities.
  • Build ML systems that analyze AI search behavior, identify content opportunities, and predict performance across different AI-driven platforms.
  • 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.

Requirements

  • strong background in NLP and search/recommendation systems required
  • 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
  • 5+ years building production machine learning systems with demonstrated business impact
  • Deep expertise across ML approaches: classical models (XGBoost, random forests), modern deep learning architectures (transformers, graph neural networks), and reinforcement learning systems
  • Our Guiding Principles
  • Extreme Ownership
  • Curiosity and Play
  • Make Our Customers Heroes
  • Respectful Candor
  • Benefits
  • Equity in a fast-growing startup

Benefits

  • Flexible time off policy
  • Parental Leave
  • Technical Leadership: Design and deploy end-to-end machine learning systems including NLP models, search and recommendation algorithms, and LLM-based applications.
  • Competitive benefits package tailored to your location

Company info

  • About AirOps
  • AirOps is the first end-to-end content engineering platform built for the AI era.
  • In a world where discovery is shifting from traditional search to AI-driven platforms, we help brands get found-and stay found.
  • We are currently in a phase of hyper-growth, having 5x'd our revenue in the last year by helping marketing teams at Ramp, Chime, Carta, and Rippling turn content quality into a durable competitive advantage.
  • Our platform equips marketers to navigate the new discovery landscape, prioritize high-impact opportunities, and create accurate, on-brand content that earns citations from AI and trust from humans.
  • Backed by Greylock, Unusual Ventures, Wing VC, and Founder Collective, we are building the intelligent systems that will empower the next generation of marketing leaders.
  • AirOps is headquartered in San Francisco, New York and Montevideo.
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This listing is sourced directly from AirOps's careers page and normalized into a canonical job model.