Posted in

Research Scientist

Research Scientist

CompanyASAPP
LocationNew York, NY, USA
Salary$190000 – $240000
TypeFull-Time
DegreesPhD
Experience LevelSenior

Requirements

  • Expertise in NLP and machine learning research, with a focus on real-world applications.
  • PhD in a relevant field (such as Computer Science, Electrical Engineering, Linguistics, etc.), along with significant experience in research.
  • Strong experience in NLP and machine learning, including practical knowledge of algorithm design, model development, and experimental evaluation.
  • Experience in coaching and guiding junior researchers or research engineers.
  • As an individual contributor, you’ll be expected to lead experiments, perform hands-on research, and drive the execution of innovative projects.
  • A passion for continued learning and deepening expertise in machine learning and AI, with a strong desire to apply research in impactful ways.

Responsibilities

  • Be deeply involved in hands-on technical work in any and all aspects of research projects from early exploration to working prototypes to achieve successful real-world applications.
  • Identify promising applications of machine learning relevant to ASAPP’s core mission, formulate and advocate for research programs in those areas, and take ownership of driving impactful research initiatives.
  • Work with cross-functional teams to socialize your research findings, advocate for their application, and guide the productization of those findings to improve customer experience solutions.
  • Document significant experimental results, contribute to publishing peer-reviewed papers, and participate in patenting innovations.
  • Mentor and guide junior researchers, helping them develop their skills in independent research and the communication of their findings.

Preferred Qualifications

  • Strong technical background in NLP, with a proven record of peer-reviewed publications.
  • Ability to develop and lead independent research programs.
  • A collaborative mindset, eager to share research findings and drive their application across product teams.
  • Experience in a startup environment, with the ability to balance deep research and rapid execution.