- Applying machine learning models, tools, and techniques to imagery, video, signals, and other data products
- Leading teams in the development of machine learning solutions for our customers
- Performing data collections and running simulations to create, curate, and label machine learning data sets
- Developing and delivering visualizations, demonstrations, and presentations for customers
- Travel to technical conferences and various test sites in the United States
- Remain current on state-of-the-art ML techniques and technologies
- Purse new business opportunities by contributing on formal proposals, BAA's, RFI's etc... What You'll Bring
- Bachelor's degree in computer science, electrical engineering, computer engineering, math, or physics with 6+ years of experience; a master's degree preferred. Other degrees may be considered if the candidate possesses a strong machine learning background
- Experience applying ML/AI to Department of Defense (DoD) and/or Intelligence Community (IC) problem domains, including radar, optical or infrared imagery, and electronic warfare systems.
- Coursework in computer vision, machine learning, or neural networks
- Experience with digital signal processing algorithms, techniques, and related technologies.
- Technical proficiency in MATLAB, Python, and common deep learning frameworks (., Tensorflow, PyTorch).
- Excellent written and verbal communication and presentation skills Preferred Requirements – Ways to Stand Out
- Experience designing and developing ML/AI solutions for deployment on embedded platforms
- Familiar with signal processing algorithms, techniques, and related technologies
- Technical proficiency in C++ for edge deployment
- Active TS/SCI clearance What Sets Us Apart?
- Location Syracuse, New York
- Employment Type Full-Time Salaried
- Experience Required 6+ Years
- Education Required Bachelors Degree
- Security Clearance Requirement Must meet eligibility requirements
- Travel % 25
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Machine Learning Engineer - Syracuse, United States - SRC Inc
Description
is seeking a lead engineer to work in the machine learning (ML) and artificial intelligence (AI) domains for our Syracuse, NY. The rapid advancement of deep learning continues to enable new and innovative applications, solutions, and capabilities for our products, including ground and airborne radar systems, electronic warfare (EW) systems, optical sensors, and more. The selected candidate will have the opportunity to design, develop, and field solutions using deep learning and other machine learning models on state-of-the-art hardware to solve a variety of challenges of national significance. What You'll DoSRC, Inc., a not-for-profit research and development company, combines information, science, technology and ingenuity to solve "impossible" problems in the areas of defense, environment and intelligence. Across our family of companies, we apply bright minds, fresh thinking and relentless determination to deliver innovative products and services that are . When you join our team, you'll be a part of something truly meaningful — helping to keep America and its allies safe and strong. You'll collaborate with more than 1,400 engineers, scientists and professionals — with 20 percent of those employees having served in the military — in a highly innovative, inclusive and equitable work environment. You'll receive a competitive salary and comprehensive benefits package that includes four or more weeks of paid time off to start, 10 percent employer contribution toward retirement, and 100 percent tuition support.
Total compensation for this role is market competitive. The anticipated salary range for this position based out of Syracuse, NY is estimated at $100,000 to $126,000 annually. The actual salary will vary based on applicant's experience, skills, and abilities, geographic location as well as other business and organizational needs. SRC offers competitive benefit options, for more details please visit our website.
Equal Opportunity
Individuals seeking employment are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability. You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.
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