Job Description: Our client is an iconic American newspaper renowned for its comprehensive news coverage, investigative journalism, and political reporting. Based in Washington, D.C., it has played a pivotal role in major historical events and continues today to influence public discourse with its digital-first approach and commitment to high-quality journalism. As a Staff Applied Machine Learning Scientist, you will develop innovative solutions to enhance the future of journalism. This team drives AI initiatives to create intelligent, personalized news experiences and business solutions for the world’s leading digital media platform. This role combines scientific research, statistical analysis, and software development. The role is remote with preference to candidates based out of the local DMV area. Responsibilities:
- Identify data science projects that add value for site visitors, the newsroom, and the advertising team.
- Present findings to technical communities locally and at various research and business conferences.
- Communicate complex information with internal and external peers and managers.
- Document projects thoroughly, from business objectives and data processing to final algorithms and results. Create materials to effectively communicate findings to business audiences.
- Evaluate commercial and open-source techniques in machine learning, data mining, NLP, and analytics.
- Develop scalable and high-performance machine learning and data mining algorithms.
- Test hypotheses rapidly through prototype development, offline experiments, and online A/B tests.
- Generate actionable insights through rigorous data analysis, including predictive modeling, cluster analysis, temporal analysis, and social network analysis.
- Produce reports and visualizations to provide insights into production systems.
- Mentor less experienced team members.
Qualifications:
- Master’s degree or higher in Computer Science, Statistics, Mathematics, or a related field with a focus on data mining, NLP, or machine learning.
- Over 6 years of professional experience in NLP systems, predictive modeling, recommendations/personalization, clustering, classification, sentiment analysis, time series, and deep learning.
- Over 5 years of programming experience in Python, TensorFlow, PyTorch, or Keras.
- Over 5 years of experience with cloud technologies such as AWS.
- Over 3 years of experience in developing and applying language models.
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 for any new parent
- Robust mental health resources
- Backup care and caregiver concierge services
- Gender affirming services
- Pet insurance
- Free digital subscription
- Leadership and career development programs
**Applicants must be currently authorized to work in the US on a full-time basis now and in the future.** #LI-LT2 #J-18808-Ljbffr
remote work Natural language processing (NLP) Python Amazon Web Services (AWS) TensorFlow keras PyTorch