Senior Research Scientist

15 hours ago


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

Kensho, a hub for AI innovation and transformation within S&P Global, seeks a Senior Research Scientist to join its team of experienced researchers and machine learning engineers. With a focus on developing and deploying novel solutions for S&P Global and its customers worldwide, the successful candidate will contribute to the development of Large Language Models (LLMs) and work on cutting-edge projects such as long-context question-answering, complex reasoning, and tokenization.

The ideal candidate will have a PhD in Computer Science or a related field, with a strong publication record in top-tier ML/NLP conferences. Proficiency in PyTorch, Tensorflow, or JAX is required, as well as experience with large, messy real-world data. The successful candidate will be a collaborative team player, with a love for learning new skills and domains, and a willingness to share knowledge freely with others.

Kensho offers a competitive compensation package, including a base salary range of $175k-$250k, an annual incentive bonus, and equity plans. The company also provides top-of-market benefits, including medical, dental, and vision insurance, unlimited paid time off, and 26 weeks of 100% paid parental leave.

As a Senior Research Scientist at Kensho, you will have the opportunity to work on challenging projects, collaborate with a talented team, and contribute to the development of innovative AI solutions. If you are passionate about AI, machine learning, and natural language processing, and are looking for a challenging and rewarding career opportunity, we encourage you to apply.

Key Responsibilities:

  • Develop novel, state-of-the-art NLP models that can scale to millions of documents
  • Work closely with other Research Scientists and ML Engineers to develop and deploy novel solutions
  • Contribute to the development of Large Language Models (LLMs) and work on cutting-edge projects such as long-context question-answering, complex reasoning, and tokenization
  • Share research results with colleagues and the wider research community through presentations, publications, and patents

Requirements:

  • PhD in Computer Science or a related field
  • Strong publication record in top-tier ML/NLP conferences
  • Proficiency in PyTorch, Tensorflow, or JAX
  • Experience with large, messy real-world data
  • Collaborative team player with a love for learning new skills and domains

What We Offer:

  • Competitive compensation package, including a base salary range of $175k-$250k, an annual incentive bonus, and equity plans
  • Top-of-market benefits, including medical, dental, and vision insurance, unlimited paid time off, and 26 weeks of 100% paid parental leave
  • Opportunity to work on challenging projects and collaborate with a talented team
  • Chance to contribute to the development of innovative AI solutions


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