Machine Learning Engineer II

Position Responsibilities

• 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

Basic Qualifications (Required Skills & Experience)

• BS in Computer Vision and Machine Learning is required or equivalent combination of education, training, and experience - with qualifications in any of the following fields: 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

Other matrixed skills include:

• 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

Special Requirements: U.S. Citizenship required

Other Qualifications & Desired Competencies)

• Works well within defined requirements to complete tasks under moderate supervision

• Must be a team player and collaborate effectively

• Excellent verbal and written skills

• Has effective problem-solving, analytical and interpersonal skills

• Able to excel in a fast-paced, deadline-driven environment, where small teams share a broad variety of duties

• Displays strong initiative and drive to accomplish goals and meet company objectives

• Takes ownership and responsibility for current and past work products

• Is committed to learning from mistakes and driven to improve and enhance performance of oneself, others, and the company

Physical Demands

• Ability to work in an office and manufacturing environment (Constant)

• Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent)