Machine Learning Engineer III

AeroVironment • Minneapolis, MN

6d • $129,500 - $183,750 • Onsite

About The Position

The Machine Learning Engineer III will have the opportunity to interact with R&D Group to develop a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications. These development efforts will generally be small focused design teams which will require a senior machine learning engineer to use a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking. This position will work on a variety of stages of development including requirements definition, concept design, prototyping, detailed design, test and evaluation and validation and verification testing. Citizenship To qualify for this role US citizenship is required.

Requirements

• 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 5 - 8 years' relevant experience
• Familiarity with C/C++ and Matlab required
• Demonstrated ability to troubleshoot complex systems
• Familiarity with office software and computer-based productivity tools
• 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
• US citizenship is required
• Must be willing to work on government contracts and have the ability to obtain a security clearance.

Nice To Haves

• Advanced degree is preferred
• Works well within defined requirements to complete tasks with little instruction
• 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

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 & implement appropriate ML algorithms & tools
• Select appropriate datasets and data representation methods; Run machine learning tests and experiments
• Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors; Demonstrates good judgment in selecting methods & techniques for obtaining solutions
• Other duties as assigned

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior