Senior Machine Learning Engineer

2 weeks ago

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

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Perceptive Space Systems. As a key member of our engineering team, you will be responsible for building and deploying machine learning models that support our space weather prediction products.

Responsibilities:
  • Provide technical leadership on machine learning projects, driving innovation and excellence in our products.
  • Design, develop, and optimize machine learning algorithms that support our products, ensuring high accuracy and efficiency.
  • Collaborate with cross-functional teams to integrate machine learning models into our products, ensuring seamless user experiences.
  • Stay up-to-date with the latest advancements in machine learning research and technologies, applying this knowledge 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, with a track record of delivering robust, scalable, and production-ready machine learning models.
  • Strong proficiency in Python and ML frameworks such as Keras, TensorFlow, and PyTorch.
  • Experience with ML Ops tools and frameworks such as Sagemaker, Pyspark, ML Flow, W&B, and parallel and distributed computing tools like Ray, Dask, and Numba.
  • Experience deploying ML solutions with multiple cloud platforms (e.g., AWS, GCP, Azure).
What We Offer:
  • Generous stock options compensation.
  • Unlimited PTO.
  • Completely remote (Canada).
  • Opportunities for growth and leadership.
  • Health, dental, and vision insurance.

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