Remote Senior Machine Learning Engineer

Description:

• Perceptive Space is on a mission to make humanity resilient to space weather, which affects the performance and reliability of space-borne technological systems and human health.
• The company is addressing the limitations of current space weather predictions by providing AI-powered predictions that offer accuracy and actionable insights for the aerospace industry.
• As a Senior Machine Learning Engineer, you will build foundational technology for safe and efficient operations of satellites, launch vehicles, and human missions under changing space weather conditions.
• You will lead machine learning projects, drive new initiatives from concept to execution, and architect, build, scale, and improve ML algorithms that support the company's products.
• Responsibilities include designing and optimizing services for training, deploying, serving, and monitoring models, handling complex datasets, and staying updated on ML research to enhance product offerings.

Requirements:

• Candidates must have an MS or PhD in Computer Science or a related technical degree such as Mathematics, Physics, or Electrical Engineering.
• A minimum of 4 years of experience as a Machine Learning Scientist or Engineer is required.
• Proven experience in providing technical leadership on complex projects and a track record of delivering robust, scalable, and production-ready ML models is essential.
• Candidates should have experience building, tuning, and deploying large-scale machine learning systems with feedback loops for continuous improvement.
• Knowledge of model interpretability and explainability techniques is necessary.
• Strong proficiency in Python and ML frameworks such as Keras, TensorFlow, and PyTorch is required.
• Experience with ML Ops tools and frameworks like Sagemaker, Pyspark, ML Flow, and distributed computing tools such as Ray, Dask, and Numba is needed.
• Candidates must have experience deploying ML solutions across multiple cloud platforms (e.g., AWS, GCP, Azure).
• Outstanding verbal and written communication skills are essential for explaining complex technical concepts to both engineering peers and non-engineering stakeholders.
• An ideal candidate should have startup experience, experience with edge devices, optimizing distributed model training with GPU resources, and working with time-series data, as well as proficiency in C++.
• Candidates must comply with Canadian regulations related to the space industry, including the Controlled Goods Program, and must be Canadian citizens, permanent residents, or exempt individuals.
• The role is remote but candidates should be available to work on Eastern Time.

Benefits:

• The position offers generous stock options compensation.
• Employees enjoy unlimited paid time off (PTO).
• The role is completely remote within Canada.
• There are opportunities for growth and leadership within the company.
• Health, dental, and vision insurance are provided as part of the benefits package.