Sr. Software Engineer (ML Researcher)

Location: Vancouver, BC, Canada; hybrid with 3 days per week in the office required

Salary: CAD 145,000–170,000 annually

Company

hirify.global develops satellite-based Earth observation, software engineering, machine learning, and cloud computing solutions for agriculture, energy, mining, insurance, wildfire intelligence, and environmental monitoring.

What you will do

• Research, design, and validate multimodal geospatial foundation model architectures combining optical imagery, weather, and contextual data.
• Lead large-scale training and fine-tuning of foundation models using Earth observation datasets.
• Collaborate with machine learning infrastructure engineers to optimize distributed training and cloud resource usage.
• Define metrics and experiments with machine learning engineers to benchmark foundation model performance.
• Participate in Agile ceremonies, including sprint planning, reviews, demos, and retrospectives.
• Create, maintain, and operate technical documentation and production systems.

Requirements

• 7+ years of combined software engineering and/or applied deep learning research experience, including geospatial foundation model research.
• Experience designing and training algorithmically complex deep learning models on large-scale datasets, including Earth observation data such as Sentinel-2 or Landsat.
• Hands-on knowledge of CNNs, transformers, spatiotemporal models, and architectural trade-offs.
• Experience with AWS or similar cloud environments for distributed model training and data preprocessing.
• Strong Python skills, including NumPy, pandas, PyTorch, and Jupyter; familiarity with GDAL, rasterio, and xarray.
• Degree in computer science, mathematics, physics, engineering, geography, GIS, or an equivalent field, plus experience with Agile, Scrum, and CI/CD processes.

Nice to have

• Higher education in machine learning, data science, remote sensing, or a related field.
• Knowledge of physics or mathematics.
• Experience combining optical imagery with weather and other contextual data.

Culture & Benefits

• Work on production-critical systems generating near-real-time views of Earth from satellites.
• Contribute to applications in disaster mitigation, environmental monitoring, and crop yield improvement.
• Collaborative environment focused on innovation, teamwork, honesty, trust, and inclusion.
• Competitive compensation and flexible time off.
• Waterfront head office in Vancouver, BC.