AirOps · 3 months ago
Lead Applied Scientist
New York City or San Francisco
Full-time
Onsite
Senior Level, Lead/Staff
5+ years expAirOps is a company focused on empowering marketers through AI-driven content solutions. As a Lead Applied Scientist, you will design and deploy machine learning systems that enhance how brands optimize their content for AI agents and improve search visibility.
Artificial Intelligence (AI)Business DevelopmentDeveloper APIsDeveloper ToolsProductivity Tools
Responsibilities
Technical Leadership: Design and deploy end-to-end machine learning systems including NLP models, search and recommendation algorithms, and LLM-based applications
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
Qualification
Required
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
Benefits
Equity in a fast-growing startup
Competitive benefits package tailored to your location
Flexible time off policy
Generous parental leave
A fun-loving and (just a bit) nerdy team that loves to move fast!
Company
AirOps
AirOps enables businesses to build AI-powered content workflows combining multiple language models with brand data for scalable growth.
11-50 employees
H1B Sponsorship
AirOps has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Growth StageTotal Funding
$62.5MKey Investors
GreylockUnusual VenturesWing Venture Capital
2025-11-10Series B· $40M
2024-10-02Series A· $15.5M
2023-04-26Seed· $7M
Leadership Team
Alex Halliday
Founder and CEO
Matt Hammel
Co-founder and COO
Recent News
Sourcery
2025-11-21
alleywatch.com
2025-11-19
vcnewsdaily.com
2025-11-14
Company data provided by crunchbase