Neara is a high-growth technology company focused on creating engineering-grade 3D digital models of critical infrastructure, primarily electricity grids, and expanding into telecommunications and rail.
The software platform is used by infrastructure owners and operators globally to address challenges throughout the asset life cycle, including design, construction, asset management, and climate impact.
As a Senior Machine Learning Engineer, you will develop machine learning models using various data sources such as LIDAR, imagery, and vector data.
You will be involved in all stages of the ML lifecycle, including data collection, quality assurance, training, and model monitoring.
The role requires staying updated with best practices in data handling and MLOps, as well as integrating new machine learning techniques into the platform.
You will mentor junior engineers and foster a collaborative work environment that encourages continuous learning and growth.
Key contributions include developing methods to generate accurate electric networks from imperfect data, optimizing training pipelines, scaling model serving, improving model QA, and building scalable data pipelines.
Requirements:
Demonstrated experience with Machine Learning and Deep Learning is essential.
A strong foundation in software engineering is required.
Proficiency in machine learning frameworks such as PyTorch, TensorFlow, or Jax is necessary.
Excellent problem-solving skills applied to new domains are expected.
The ability to work effectively in an asynchronous and cross-functional manner on ill-defined problems is crucial.
Candidates must possess the ability to take ownership of problems and proactively approach challenges.
Benefits:
The position offers a competitive salary.
Employees will receive a meaningful Employee Stock Ownership Plan (ESOP).
The role provides the opportunity to work on a complex, innovative, and industry-leading product that makes a genuine difference in the world.