Lead Machine Learning Scientist, New AI Products and Platforms

The New York Times
New York
Workplace: HybridFull timeUSD 166,000 - 205,000 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Technical leadership","Cross-functional collaboration","Evaluation","Responsible AI judgment","Mentoring"]

Provide technical leadership for a team building reader-facing AI experiences, focusing on embedding models and semantic retrieval algorithms. Design and train representation-learning embedding models (e.g., transformer encoders, Two Tower), and lead fine-tuning and evaluation of language models for custom use cases and content enrichment. Work with engineering teams to productionalize models and integrate ML/AI into user-facing products, define responsible AI evaluation practices, and scope/improve product initiatives.

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The New York Times
The New York Times
1 month ago

Lead Machine Learning Scientist, New AI Products and Platforms

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Last checked: 11 hours agoStatus: Live

Job Summary

Provide technical leadership for a team building reader-facing AI experiences, focusing on embedding models and semantic retrieval algorithms. Design and train representation-learning embedding models (e.g., transformer encoders, Two Tower), and lead fine-tuning and evaluation of language models for custom use cases and content enrichment. Work with engineering teams to productionalize models and integrate ML/AI into user-facing products, define responsible AI evaluation practices, and scope/improve product initiatives.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Provide technical leadership for embedding models and semantic retrieval algorithms that power reader-facing AI experiences.
  • •Lead the design and training of embedding models for representation learning using approaches such as transformer encoders and Two Tower architectures.
  • •Lead the fine-tuning and evaluation of language models for custom use cases and content enrichment.
  • •Productionalize embedding models and language models and partner with engineering teams to integrate ML/AI into user-facing products.
  • •Define shared evaluation and responsible AI practices, identify novel ML project opportunities, and scope/drive product improvements and milestones.

Pay and Benefits

Salary: USD 166,000 - 205,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kPaid LeaveParental LeaveLearning Budget

Key Requirements

  • •PhD plus 4+ years experience, or 7+ years experience, in machine learning, statistics, computer science, computational social science, or another quantitative/computational discipline.
  • •2+ years experience coding and deploying in production environments using Python, developing and deploying complex algorithms integrated into company processes.
  • •2+ years experience building production systems that use LLMs, vision-language models, embeddings, or other deep learning models to solve user-facing problems.
  • •4+ years experience with data cleaning, preparation, feature engineering, and model selection techniques.
  • •1+ years experience mentoring peers or junior ML scientists through pairing and algorithm/model/code review.
Experience:Machine learningComputer scienceComputational social scienceDeep learning
Education:PhD / Doctorate
Skills:Technical leadershipCross-functional collaborationEvaluationResponsible AI judgmentMentoring
Languages:English
Tech Stack:PythonTransformer encodersTwo Tower architecturesEmbeddingsLanguage modelsLLMsVision-language models

Company Brief

The New York Times
Operates The New York Times, a global news organization delivering journalism across print and digital platforms, plus specialty sites like Wirecutter. Produces reporting, opinion, multimedia, and subscription-driven content covering national and international affairs.
Industry: News, Journalism & Broadcasting
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 1851
WebsiteLinkedIn