Data Science Intern
Hewlett Packard Enterprise
ETLInformaticaPython
Lead Data Scientist
AirOps
full-time
Posted on:
Location Type: Hybrid
Location: New York City • California, New York • 🇺🇸 United States
Visit company websiteJob Level
Senior
About the role
- Design and deploy end-to-end machine learning systems including NLP models, search and recommendation algorithms, and LLM-based applications.
- 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.
- Collaborate with product managers to translate business requirements into technical solutions.
Requirements
- 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!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningnatural language processingsearch algorithmsrecommendation algorithmsXGBoostrandom foreststransformersgraph neural networksreinforcement learningmodel optimization
Soft skills
technical leadershipcommunication skillscollaborationinfluencing architecture decisionsaligning initiatives with business outcomes
