Algorithm Engineer (AI)

Company

hirify.global develops subsurface mapping technology that combines field sensor data, physical modelling, machine learning, and AI to create accurate underground maps.

What you will do

• Translate physical and engineering problems into mathematical models and algorithmic solutions.
• Design algorithms that fuse heterogeneous sensor modalities with vector, raster, tabular, and unstructured data.
• Extract structure from noisy signals through detection, segmentation, and interpretation methods.
• Build evaluation methodologies that help downstream engineers assess algorithm reliability.
• Test, benchmark, and iterate on performance with the maps analysis team.
• Collaborate with mapping, engineering, and software teams to validate and integrate algorithms into production.

Requirements

• B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or a similar technical field.
• 5+ years of relevant industry experience.
• Strong foundation in machine learning and judgment in choosing classical methods versus deep models.
• Expertise in graph theory, computational geometry, statistics, optimization, and data analysis.
• Strong Python programming skills, including Pandas, NumPy, SciPy, and PyTorch.
• Ability to select and combine tools according to the problem being solved.

Nice to have

• M.Sc. in a relevant field.
• Experience with Geographic Information Systems (GIS), BIM data, and 3D modelling.
• Experience applying LLMs to information extraction from unstructured or scanned documents.
• Experience developing in cloud environments, especially AWS.

Culture & Benefits

• Work in a multidisciplinary environment spanning physics, signal processing, computer vision, classical machine learning, and modern AI models.
• Address complex subsurface mapping problems without off-the-shelf solutions.
• Collaborate directly with mapping, engineering, and software specialists.