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Urgent hire for a Deep Learning Engineer

Company: Aerotek
Location: Fairfax
Posted on: May 23, 2020

Job Description:

Our client is seeking three engineers to join their team to immerse themselves in the art of Deep Learning to train their UAVs to find very specific objects to fly to autonomously. Our client has projects for commercial clients like Uber Eats to government research customers like DARPA, Naval Research Labs, and the Air Force Research Labs. Our client has cutting edge short range and long range UAVs already in production and they now want to enhance their Deep Learning/Machine Learning capabilities to make themselves a full product life cycle autonomous aircraft/sensor analytic provider. Responsibilities: - Black Box Training (60%) - Establishing Development Requirements and Test Requirements with the Customer (25%) - Research Deep Learn and create White Papers (10%) - New Business Development (5%) Required: - BS in Engineering or related applicable degree (data science, statistics, physics, mathematics) - 2+ Years of experience with Deep Learning/Machine Learning - Experience in training image and video domain to Black Box - Must be eligible for US Secret Clearance About Aerotek: We know that a company's success starts with its employees. We also know that an individual's success starts with the right career opportunity. As a Best of Staffing -- Client and Talent leader, Aerotek's people-focused approach yields competitive advantage for our clients and rewarding careers for our contract employees. Since 1983, Aerotek has grown to become a leader in recruiting and staffing services. With more than 250 non-franchised offices, Aerotek's 8,000 internal employees serve more than 300,000 contract employees and 18,000 clients every year. Aerotek is an Allegis Group company, the global leader in talent solutions. Learn more at Aerotek.com.

Keywords: Aerotek, Washington DC , Urgent hire for a Deep Learning Engineer, Engineering , Fairfax, DC

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