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Machine Learning Resident
Amii🇨🇦In-Person - Edmonton, ABCA$70K–CA$110K/yr2mo ago
Summary
A 12-month paid Machine Learning Residency with BigGeo focused on developing an AI integration layer for geospatial data analysis and spatial intelligence solutions. The role offers mentorship from world-class AI scientists with potential for permanent hiring upon completion.
Key Responsibilities: Design and implement workflows for geospatial data analysis, optimize ML pipelines for agentic systems, and engage with stakeholders to develop client-focused solutions. Share insights and conduct knowledge transfer activities while reporting to an Amii Scientist and collaborating with the BigGeo team.
Skills & Tools: Strong background in machine learning with expertise in agentic workflows, LLMs/VLMs, and large-scale geospatial datasets. Proficient in Python and ML frameworks such as TensorFlow and PyTorch.
Qualifications: Completion of a graduate degree in Computer Science or related field, ideally with experience in LLM/VLMs and machine learning model implementation. Strong passion for building impactful AI solutions with demonstrated technical depth.
Location: Hybrid in Edmonton, Alberta, Canada (note: job description mentions both Edmonton and Calgary)
Compensation: CA$70,000 – CA$110,000/year
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