Remote Machine Learning Scientist

Description:

• Perceptive Space is focused on enhancing humanity's resilience to space weather, which affects the performance of space-borne technologies 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 and enhance 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 with high ambiguity and complexity, 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.

Benefits:

• The position offers generous stock options compensation.
• There are opportunities for growth and leadership within the company.
• Vision, dental, and health insurance are provided as part of the benefits package.
• The role is fully remote, allowing for flexibility, but candidates must be available to work during Eastern Time.