Senior Machine Learning Engineer

2 weeks ago

Toronto, Ontario, Canada Perceptive Space Systems Full time
About Perceptive Space Systems

Perceptive Space Systems is revolutionizing the aerospace industry by providing accurate and timely space weather predictions. Our mission is to make humanity resilient to space weather, ensuring the safety and efficiency of satellites, launch vehicles, and human missions.

Job Summary

We are seeking a highly motivated and experienced Machine Learning Engineer to join our team. As a key member of our engineering team, you will be responsible for building and deploying machine learning models that support our space weather predictions. Your expertise will help us push the boundaries of predictive capabilities and redefine mission success and safety for satellite and human missions.

Responsibilities
  • Provide technical leadership on machine learning projects, driving new initiatives from concept to execution.
  • Architect, build, scale, and improve machine learning algorithms that support our products.
  • Design, develop, and optimize services and systems for training, deploying, serving, and monitoring models.
  • Handle complex and large datasets to be ingested by our training and inference pipelines.
  • Stay updated on machine learning research and technologies to enhance our product offerings.
Requirements
  • MS or PhD in Computer Science or a related technical degree.
  • 4+ years of experience as a Machine Learning Scientist or Machine Learning Engineer.
  • Proven experience in providing technical leadership on complex projects.
  • Track record of contributing to the successful delivery of robust, scalable, and production-ready machine learning models.
  • Experience building, tuning, and deploying large-scale machine learning systems with feedback loops for continuous improvement.
  • Knowledge of model interpretability and explainability techniques.
  • Strong proficiency in Python and machine learning frameworks such as Keras, TensorFlow, and PyTorch.
  • Experience with machine learning operations tools and frameworks such as Sagemaker, Pyspark, ML Flow, W&B, and parallel and distributed computing tools like Ray, Dask, and Numba.
  • Experience deploying machine learning solutions with multiple cloud platforms (e.g., AWS, GCP, Azure).
  • Outstanding verbal and written communication skills, capable of explaining complex technical concepts to engineering peers and non-engineering stakeholders.
Preferred Qualifications
  • Startup experience.
  • Experience building, deploying, and optimizing machine learning models on edge devices.
  • Experience optimizing distributed model training with GPU resources.
  • Experience working with time-series data.
  • Proficiency in C++.
Other Requirements
  • To comply with Canadian regulations related to the space industry, candidates must be Canadian citizens, permanent residents, or persons otherwise exempt under the Controlled Goods Program.
  • The role is completely remote (Canada) but candidates should be available to work on Eastern Time.
Benefits
  • Generous Stock Options Compensation
  • Unlimited PTO
  • Completely Remote (Canada)
  • Opportunities for growth and leadership
  • Health, dental and vision insurance

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