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Research Scientist
Company | ASAPP |
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Location | New York, NY, USA |
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Salary | $190000 – $240000 |
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Type | Full-Time |
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Degrees | PhD |
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Experience Level | Senior |
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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.