Applied Machine Learning Scientist 2 (AI)

Location: DC-Washington-TWP Headquarters; on-site five days a week

Salary: $108,700–$181,100 annual

Company

hirify.global is a news organization using technology and innovation to deliver investigative journalism and digital reader experiences.

What you will do

• Design, train, evaluate, deploy, monitor, and iterate machine learning models for personalization, recommendations, ranking, user modeling, and content discovery.
• Build systems for For You feeds, homepage ranking, article recommendations, related content, and real-time user modeling.
• Apply embedding generation, transformer-based models, two-tower architectures, learning-to-rank, LLM-driven, and GenAI approaches.
• Develop AI-powered experiences for content understanding, question answering, intelligent discovery, and personalized recommendations.
• Design offline and online evaluations using ranking and recommender-system metrics, A/B testing, and causal analysis.
• Collaborate with scientists, engineers, data teams, product managers, editors, and other stakeholders to deliver scalable and maintainable ML solutions.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related technical field.
• At least 2 years of experience in applied machine learning, AI, data science, recommender systems, NLP, or a related field.
• At least 2 years of professional experience with Python and an ML framework such as PyTorch, TensorFlow, or JAX.
• Experience working with large-scale datasets and real-world machine learning problems.
• Strong foundation in machine learning, statistical analysis, model evaluation, and experimental design.
• Experience with ranking, recommendation, personalization, NLP, or GenAI applications.

Nice to have

• Master’s degree in a relevant technical field.
• Experience with modern ML architectures, recommender systems, learning-to-rank, personalization, user modeling, or GenAI-powered product experiences.
• Experience with AWS, GCP, Spark, Beam, BigQuery, or similar cloud and big-data technologies.
• Experience deploying production ML models, evaluating LLMs, prompt engineering, model calibration, or responsible AI practices.
• Publications, open-source contributions, patents, or technical talks in AI/ML, NLP, recommender systems, personalization, or GenAI.

Culture & Benefits

• On-site work in open-layout offices with modern technology and access to transportation.
• Medical, dental, and vision coverage.
• Company-paid pension and 401(k) match.
• Three weeks of vacation, up to three weeks of paid sick leave, nine paid holidays, and two personal days.
• Twenty weeks of paid parental leave, mental health resources, backup care, caregiver concierge services, gender-affirming services, and pet insurance.
• Leadership and career development programs and a free Post digital subscription.