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Innovative NLP Researcher for S&P Global

1 month ago

Cambridge, Massachusetts, United States S&P Global Full time

About Kensho

Kensho is S&P Global's hub for AI innovation and transformation, where we develop and deploy novel solutions for our customers worldwide. Our expertise in Machine Learning and data discovery enables us to harness the power of data and Artificial Intelligence to drive progress.

As a collaborative group of experienced Research Scientists and Machine Learning Engineers, we take pride in our team-based environment that fosters continuous learning and open communication. We believe in flexibility-first and give our employees the freedom to work from anywhere in the United States, while also valuing in-person collaboration.

About the R&D Lab

We have been building a world-class R&D lab since 2022, comprised of NLP Research Scientists who heavily prioritize publishing in top-tier conferences. Our small team has demonstrated compelling results and is fueling innovation throughout Kensho and S&P Global at large.

Our current projects include:

  • Long-context document QA, where the answer is contained within documents that are hundreds of pages in length
  • Complex reasoning, including better understanding and improving models' ability to approximate numbers (related to commonsense reasoning)
  • Creating rigorous evaluation benchmarks, spanning domain knowledge, quantity extraction, and program synthesis
  • Improving existing alignment techniques for domain-specific needs, while also addressing factuality
  • Dissecting tokenizers to better understand how each of the sub-components impact intrinsic and extrinsic performance
  • Multi-Document QA, where the answer requires combining information from dozens of sources
  • Retrieval-augmented generation (RAG) methods
  • Creating high-quality data filters for LLM development

We maintain strong relationships with academia, including collaborating on several ongoing projects, providing industry grants, sponsoring conferences, and jointly holding faculty positions.

What You'll Do

  • Regularly reading late-breaking research papers and helping to identify pertinent directions of work
  • Developing novel, state-of-the-art NLP models that can scale to millions of documents
  • Working closely with other Research Scientists and ML Engineers
  • Writing clean, readable research code in PyTorch (not expected to write production-level code)
  • Contribute to a stellar engineering culture that values excellent design, documentation, testing, and code
  • Share your research results with your colleagues (presentations) and the world (published papers, patents, and blog posts)

Salary Range

The estimated base salary range for this position is $150,000 - $225,000 per year, plus an annual incentive bonus and equity plans.

Required Skills and Qualifications

  • Hold a PhD in Computer Science or related field (or a Master's with significant research experience)
  • Have published in a top-tier ML/NLP conference (e.g., ACL, NAACL, EMNLP, NeurIPS, ICML)
  • Are proficient in writing code in PyTorch, Tensorflow, or JAX
  • Have experience with the techniques required to work effectively with large, messy real-world data
  • Prefer to collaborate iteratively on hard problems with your teammates rather than spending stretches of time working alone and presenting your results intermittently
  • Have a love for learning new skills and domains
  • Are excited to share knowledge freely, proactively, and effectively with others who are interested
  • Are a generous teammate who takes work seriously without taking yourself too seriously

Benefits

  • Medical, Dental, and Vision insurance
  • 100% company paid premiums
  • Unlimited Paid Time Off
  • 26 weeks of 100% paid Parental Leave (paternity and maternity)
  • 401(k) plan with 6% employer matching
  • Generous company matching on donations to non-profit charities
  • Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
  • Plentiful snacks, drinks, and regularly catered lunches
  • Dog-friendly office (CAM office)
  • Bike sharing program memberships
  • Compassion leave and elder care leave
  • Mentoring and additional learning opportunities
  • Opportunity to expand professional network and participate in conferences and events