Remote Machine Learning Scientist

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Description:

  • Perceptive Space is focused on enhancing humanity's resilience to space weather, which affects the performance of space technology and human health.
  • The company aims to improve the accuracy of space weather predictions to prevent operational losses such as satellite deorbit, failed launches, and GPS outages.
  • As a Machine Learning Scientist, you will develop foundational machine learning models for safe and efficient operations of satellites, launch vehicles, and human missions under varying space weather conditions.
  • You will innovate machine learning's predictive capabilities for space weather, redefining mission success and safety for both satellite and human missions.
  • Responsibilities include architecting, building, scaling, and improving machine learning algorithms, managing projects end-to-end, and researching innovative machine-learning approaches.

Requirements:

  • A Master's or PhD in a quantitative field such as Physics, Electrical Engineering, Mathematics, or Atmospheric Science is required.
  • Candidates must have at least 3 years of industry experience in building, optimizing, and deploying large-scale deep learning models.
  • A high level of autonomy and critical thinking is necessary to take full ownership of projects.
  • A proven track record of delivering production-ready machine learning models is essential.
  • Strong foundations in software engineering, including coding standards, code reviews, source control management, build processes, and testing, are required.
  • Experience with time-series and scientific data is necessary.
  • Proficiency in Python and machine learning frameworks like Keras, TensorFlow, and PyTorch is required.
  • Familiarity with tools and frameworks such as ML Flow, Ray, Dask, and Numba is expected.
  • Experience deploying machine learning solutions on cloud platforms like AWS, GCP, or Azure is necessary.
  • Outstanding verbal and written communication skills are required to explain complex technical concepts to both engineering peers and non-engineering stakeholders.
  • Candidates must be Canadian citizens, permanent residents, or exempt under the Controlled Goods Program (CGP) to comply with Canadian regulations related to the space industry.
  • The role is remote but requires availability during Eastern Time.

Benefits:

  • Employees will receive generous stock options as part of their compensation.
  • There are opportunities for growth and leadership within the company.
  • Comprehensive vision, dental, and health insurance is provided to employees.
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