Senior Research Scientist

$20,000 - $20,000/Yr

Kensho Technologies - Cambridge, MA

posted 4 months ago

Full-time - Senior
Cambridge, MA
101-250 employees
Professional, Scientific, and Technical Services

About the position

Kensho is seeking a Senior Research Scientist to join our innovative team focused on Machine Learning (ML) and Natural Language Processing (NLP). As a part of our R&D lab, you will play a pivotal role in developing state-of-the-art NLP models that can scale to millions of documents. Our team is dedicated to pushing the boundaries of research, and we prioritize publishing in top-tier conferences. You will be involved in exciting projects such as long-context question-answering, complex reasoning, and improving alignment techniques for domain-specific needs. Your work will not only contribute to the advancement of our technology but also to the broader academic community through publications and collaborations. In this role, you will regularly read and analyze late-breaking research papers to identify promising problems to pursue. You will serve as a leading figure on research projects, collaborating closely with other Research Scientists and Machine Learning Engineers. Your responsibilities will include writing clean, readable research code in PyTorch, contributing to a stellar engineering culture, and sharing your research results through presentations and publications. We value a collaborative environment where team members support each other in tackling challenging problems and learning new skills. Kensho offers a flexible work environment, allowing you to work from where you feel most productive, while also encouraging in-person collaboration when necessary. Our team is composed of experienced professionals with diverse academic backgrounds, and we take pride in fostering a communicative and supportive atmosphere. If you are passionate about solving hard problems and enjoy working with a diverse team, we would love to have you join us at Kensho.

Responsibilities

  • Regularly read late-breaking research papers and identify promising problems to pursue.
  • Serve a leading role on a research project.
  • Develop novel, state-of-the-art NLP models that can scale to millions of documents.
  • Work closely with other Research Scientists and ML Engineers.
  • Write clean, readable research code in PyTorch.
  • Contribute to a stellar engineering culture that values excellent design, documentation, testing, and code.
  • Share research results with colleagues and the world through presentations, published papers, patents, and blog posts.

Requirements

  • Hold a PhD in Computer Science or related field.
  • Have several years of post-PhD research experience in industry or academia.
  • Have a strong publication record with top-tier ML/NLP conferences (e.g., ACL, NAACL, EMNLP, NeurIPS, ICML).
  • Proficient in writing code in PyTorch, Tensorflow, or JAX.
  • Experience leading research projects, including directing the vision and providing regular feedback.
  • Experience working effectively with large, messy real-world data.
  • Prefer to collaborate iteratively on hard problems with teammates.

Nice-to-haves

  • Excited to share knowledge freely and effectively with others.
  • A love for learning new skills and domains.
  • 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
  • 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
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