Machine Learning Engineer

Role Overview

• Support development of computer vision and machine learning algorithms capable of detection, classifying, localizing, and tracking objects-of-interest from a group 1 UAV using the existing gimballed camera payload
• Write and test software to support the integration of machine learning algorithms into aircraft (such as autopilots, payloads, or other functional components) or other robotic systems.
• Explore and visualize data to gain an understanding of it, then identifying differences in data distribution that could affect.
• Implement Machine Learning systems and validate designs through a series of purpose-designed experiments.
• Create objectives and develop models that help to achieve them, along with metrics to track their progress.
• Perform analysis tasks using AeroVironment and industry developed tools.
• Managing available resources such as hardware, data, and personnel so that deadlines are met.
• Analyze the ML algorithms to solve a given problem and ranking them by their success probability. Performance when deploying the model in the real world; Verify data quality, and/or ensure it via data cleaning.
• Analyze the errors of the model and designing strategies to overcome them.
• Study and transform data science prototypes; Research and implement appropriate ML algorithms and tools.
• Select appropriate datasets and data representation methods; Run machine learning tests and experiments.
• Works on problems of moderate scope where analysis of situations or data requires a review of variety of factors. Exercises judgment within defined procedures and practices to determine appropriate action.
• Other duties as assigned.

Requirements

• BS in Computer Vision and Machine Learning is required or equivalent combination of education, training, and experience
• with qualifications in Mathematics, Optimization, Computer Science/Engineering, Electrical Engineering, Aerospace, or Mechanical Engineering
• Minimum of 2 – 5 years' relevant experience
• Familiarity with C/C++ and Matlab required
• Familiarity with office software and computer-based productivity tools
• Demonstrated ability to troubleshoot complex systems
• Proficiency with a deep learning framework such as TensorFlow or Keras
• Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
• Expertise in visualizing and manipulating big datasets
• Proficiency with OpenCV
• Familiarity with Linux
• Ability to select hardware to run an ML model with the required latency
• Computational statistics
• Mathematical optimization
• Data mining
• Exploratory data analysis
• Predictive analytics

Tech Stack

• Keras
• Linux
• Pandas
• Python
• Scikit-Learn
• Tensorflow

Benefits

• medical
• dental vision
• 401K with company matching
• a 9/80 work schedule
• paid holiday shutdown