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Applied Scientist

3 months ago

Providence, United States PHINYX.AI Full time

An applied scientist at Phinyx AI Inc. will work with experts in scientific machine learning and generative AI to bring bleeding edge research to production. This involves:

  • Tackling customer problems and demonstrating the value of the platform
  • Advancing research across focus areas: numerical solvers for applied science problems (physics, chemistry, biology, etc.), surrogate models and digital twins, optimization algorithms, and more.
  • Implementing these methods on top of the state-of-the-art technology for program synthesis invented by the Phinyx AI Inc. team.


Location: Greater Boston-Providence, RI Preferred

We are seeking a candidate preferably based in the greater Boston area willing to commute periodically to Providence, the location of our core operations, other developers and facilities. However, exceptional candidates located elsewhere will also be considered.


Responsibilities

  • Support the development of scientific components for simulation and machine learning capabilities across the Phinyx platform.
  • Translate real-world engineering problems into computational approaches across the scientific machine learning domain, classical scientific computing, optimization, and many more.
  • Develop and demonstrate the methodology for making the aforementioned computational capabilities accessible through advanced AI-driven program synthesis. Leverage deep technical understanding of the methods to envision and define proper abstractions.


Qualifications

Essential

  • MS or PhD (PhD strongly preferred) in physical sciences, engineering, or computer science, with a focus in Scientific Machine Learning 
  • Strong preference for published papers on the application of SciML
  • Education in and/or experience applying numerical methods
  • Education in and/or experience applying Machine Learning algorithms
  • Experience in agile software development on a team (i.e. not just individual research development)
  • Proficiency in Python, along with JAX, PyTorch, and/or TensorFlow


Preferred

  • Experience in applying or developing methods for formal program synthesis.
  • Experience in NLP
  • Experience in working with customers on  building algorithms, codes, and/or tools for solving real-world problems
  • Experience in code development in a production environment.
  • Experience with release trains at a certain cadence, delivering on time and with high quality.