About the position

Title

AI Robotics Engineer

Reports To

CTO

Job Purpose

Bright Apps LLC is seeking a driven, creative, inquisitive, and focused Robotics Engineer to join our team. This role will support Bright Apps LLC, lending technical knowledge and analytical expertise, helping develop products that drive the business forward.

We are looking for a problem-solver. You must be curious and focused on the future to excel in this position. A strong candidate will dive into new technologies, applying them to current needs while never losing sight of future innovations

The perfect candidate will push the boundaries of what’s possible while executing current long-term objectives. This position will work both on Brights Apps government AI work in addition to internal Bright Apps Projects.

Duties and Responsibilities

  • Work with AI/ML algorithms both to enable the Azoth AI work for Fly and Find Drone missions along with
    AI/ML to optimize Space Force Guardians service assignments reporting to the CTO
  • Working directly with NLP style technologies at Bright Apps on the US Space Force project
  • Creating new ways to extract features from disperse Space Force Data
  • Working directly with Bright Apps Labs for automated self-flying AI controlled drones
  • Evangelize and educate data sciences and the teams’ products throughout the business through effective
    communication and simple to understand use cases
  • Conduct exploratory data analysis and experimental designs to drive new hypotheses for new innovation trials
  • Understanding business objectives and developing models that help to achieve them, along with metrics to track
    their progress

Qualifications

  • Competent using data science tools, libraries, and frameworks (NLP, Scikit-learn, NumPy, SciPy, Pandas,
    TensorFlow, PyTorch, Pandas, doc2vec, word2vec, general clustering and vector math)
  • Competent with computer vision via PyTorch and OpenCV via Python
  • Understanding business objectives and developing models that help to achieve them, along with metrics to track
    their progress
  • Managing available resources such as hardware, data, and personnel so that deadlines are met
  • Ability to take a project from scoping requirements through actual launch of the project
  • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success
    probability
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that
    could affect performance when deploying the model in the real world
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Working Conditions

This position is 40 hours per week, hourly, remote position. Will require ability to work independently

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