Overview In this role you will design and deploy ML-driven systems to personalize reader experiences and enhance content discovery. You'll collaborate with cross-functional teams to turn large-scale data into actionable recommendations and engaging narratives. You will work on modern ML techniques, including embeddings, transformers, and GenAI-powered discovery, to improve reader engagement and business outcomes. This is a mission-driven opportunity to reshape how audiences find and understand journalism at scale. You will join a collaborative, innovation-focused environment that values practical AI and rigorous experimentation.
Compensation / Benefits- Competitive medical, dental and vision coverage
- Company-paid pension and 401(k) match
- Three weeks of vacation and up to three weeks of paid sick leave
- Nine paid holidays and two personal days
- 20 weeks paid parental leave
- Mental health resources
Responsibilities- Design, train, evaluate, and deploy ML models for personalization, recommendations, ranking, and user modeling
- Build systems for homepage ranking, article recommendations, related content, and real-time user modeling
- Apply transformer-based models, embeddings, two-tower architectures, learning-to-rank, and GenAI approaches to content personalization
- Support AI-powered reader experiences including content understanding and question answering
- Conduct offline and online evaluations, including A/B testing and causal analysis
- Collaborate with cross-functional teams to deliver scalable and maintainable AI/ML solutions
- Communicate model approaches, results, tradeoffs, and impact to technical and non-technical stakeholders
- Stay current with advances in ML, GenAI, NLP, and recommender systems
Key requirements- 2+ years of applied ML, data science, or related experience
- 2+ years of Python experience and proficiency with ML frameworks (PyTorch, TensorFlow, or JAX)
- Experience with large-scale datasets and real-world ML problems
- Strong foundation in ML, statistics, evaluation, and experimental design
- Experience with ranking, recommendation, personalization, NLP, or GenAI applications
- Bachelor in Computer Science, Mathematics, Statistics, or related technical field
- collaborative
- clear communication
- response to feedback
- Python
- PyTorch
- TensorFlow
