Software Engineer AI Applied

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Software Engineer AI Applied Barcelona, Spain AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today's five billion mobile subscribers and finally bring broadband to the billions who remain unconnected. Position Overview We are seeking a Software and Applied AI Engineer responsible for the development and maintenance of software platforms and internal tools, as well as the design and implementation of machine learning and data-driven solutions for advanced analysis and system optimization. Key Responsibilities: • Development and maintenance of software platforms and internal company tools • Design and development of applications in Python and C/C++ focused on data processing, automation, and advanced analytics • Development of pipelines for acquisition, organization, validation, and exploitation of large volumes of test and production data • Design, training, and validation of Machine Learning and Artificial Intelligence models applied to anomaly detection, early fault detection, event classification, predictive analysis, and system behavior analysis • Implementation of models using PyTorch, TensorFlow, or equivalent frameworks • Development of visualization systems, dashboards, and real-time reporting tools for technical analysis and performance tracking • Development of test automation tools and large-scale result analysis solutions • Statistical data processing and analysis to support validation and continuous improvement of products and processes • Integration with production

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