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MaC Venture Capital
MaC Venture Capital

Data Science Engineer



Software Engineering, Data Science
Orlando, FL, USA · Orlando, FL, USA · Florida, USA · United States
Posted on Saturday, November 11, 2023
NUVIEW is revolutionizing the Earth Observation industry by deploying the first commercial satellites designed to annually map the planet's entire land surface with LiDAR. NUVIEW's data will elevate global capabilities and transform what is possible for mankind to know about the Earth.

Role Summary:

As a Data Science Engineer specializing in Discriminative and Generative AI at NUVIEW, you will play a pivotal role in harnessing the power of LiDAR data and AI models to develop innovative solutions that have a significant impact on the fields of Earth observation and geospatial analysis.


  • Generative and Discriminative Model Development: Design, develop, and optimize both generative and discriminative AI models to process and analyze LiDAR data, extracting valuable information and insights.
  • Generative AI Tasks:
    • Semantic Segmentation: Using generative AI models to segment LiDAR data into different categories, helping to identify and understand objects, terrain, or features within a given area.
    • 3D Point Cloud Generation: Generating 3D point cloud data from LiDAR scans, providing a richer representation of the environment for improved analysis and modeling.
    • Environmental Simulation: Creating synthetic environments for training LiDAR-based perception systems, enhancing the robustness of our Earth observation solutions.
  • Discriminative AI Tasks:
    • Object Detection: Implementing discriminative AI models to detect and classify specific objects in LiDAR data, such as vehicles, buildings, or trees, for various applications.
    • Change Detection: Using discriminative AI for identifying and quantifying changes in the Earth's surface over time, aiding in monitoring environmental shifts or construction progress.
    • Anomaly Detection: Employing discriminative AI to identify anomalies or irregularities in LiDAR data, which can be indicative of events like landslides, infrastructure damage, or other critical changes.
    • Model Training: Train, fine-tune, and extend generative and discriminative models for LiDAR data using large datasets, continuously monitoring and enhancing model performance.
    • Cross-Functional Collaboration: Collaborate closely with experts in LiDAR technology, remote sensing, and geospatial analysis to integrate generative AI solutions into our Earth observation products and services.
    • Documentation: Create comprehensive documentation for model architecture, data processing, and best practices, enabling knowledge sharing within the team.


    • Bachelor's or Advanced Degree in Computer Science, Data Science, or a related field.
    • Minimum of 5 years of experience in Artificial Intelligence and Machine Learning.
    • Proven experience in developing both generative and discriminative AI models, with a strong portfolio of projects or research.
    • Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Keras.
    • Strong programming skills in languages such as Python.
    • Experience with cloud platforms and services, such as AWS, Azure, or GCP.
    • Strong problem-solving and analytical skills.
    • Excellent communication and teamwork abilities.

    Preferred Skills:

    • Knowledge of LiDAR data processing and geospatial analysis.
    • Experience with deploying both generative and discriminative models in production environments specific to Earth Observation applications.
    • Familiarity with domain-specific applications, such as land cover classification, 3D modeling, and environmental monitoring.

    NUVIEW is an Equal Opportunity Employer. We are committed to fostering a diverse and inclusive work environment that values and celebrates all employees' unique backgrounds, perspectives, and talents. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or other protected characteristics. We strongly encourage individuals from all walks of life to apply and join our team in driving innovation and success for all.