Machine Learning Scientist

Responsibilities

• Design and train embedding models for representation learning using transformer encoders and Two Tower architectures
• Fine-tune and evaluate language models for custom use cases and content enrichment
• Implement and deploy machine learning and AI research with a focus on robustness and reproducibility
• Contribute to shared organizational practices regarding evaluation and responsible AI use
• Communicate complex machine learning and AI concepts to cross-functional colleagues in engineering, product, and editorial
• Adapt or develop new ML and AI algorithms when existing techniques are insufficient

Requirements

• PhD, MS + 2 years experience, or 3+ years work experience in a quantitative discipline (ML, statistics, applied math, etc.)
• 2+ years of experience with open source machine learning or statistical analysis tools
• 2+ years of coding experience in Python
• 2+ years of experience in SQL and manipulating large datasets
• 1+ years of experience with deep learning architectures, fine-tuning, embeddings, and PyTorch or TensorFlow

Preferred Qualifications

• 1+ years of experience with information retrieval or search systems
• 1+ years of experience translating ambiguous business questions into machine learning problems
• 1+ years of experience building internal or consumer-facing data products

Benefits

• Competitive annual base pay ($121,000 - $141,000 USD)
• Eligibility for variable pay such as annual bonuses and restricted stock
• Medical, dental, and vision benefits
• Flexible Spending Accounts (F.S.A.s)
• Company-matching 401(k) plan
• Paid vacation, sick days, and parental leave
• Tuition reimbursement and professional development programs

About the Company

The mission of The New York Times is to seek the truth and help people understand the world. We are building the next generation of reader-facing A.I. experiences for one of the world's most trusted news organizations, ensuring that independent journalism remains at the heart of our digital and app destinations.