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Position: Applied Mathematician/Machine Learning Specialist
Institution: BlueHalo, LLC
Location: Kirtland, New Mexico, United States
Duties: The applicant will work with a cross-disciplinary team to perform activities associated with the design, development, and implementation of software for diverse space oriented scientific and engineering applications. A qualified applicant will be required to participate in the formulation of analytical and machine learning solutions to complex data problems by creating physics-based and Machine Learning based models as well as determining project specific data metrics for model evaluation
Requirements: Master’s degree in Applied Mathematics, Electrical Engineering, or similar field. Experience: 1 + year experience with machine learning techniques (Neural Networks and/or linear algebra-based methods); Mathematical Applications to Physics; Data Analytics; Statistics background; Programming skills at least one of the following: Python, C, C++, R, Julia, and Rust
   
Text: Skip to Main Content Welcome page Returning Candidate? Log back in! Applied Mathematician/Machine Learning Specialist ID 2022-3197 Job Locations US-NM-Kirtland AFB Overview Being on the BlueHalo Team means working alongside the brightest minds in technology on the toughest challenges facing our nation - not just every once in a while, but every single day. Together, we are leading the transformation of modern warfare and each BlueHalo employee plays a key role. That’s why our investment in you goes beyond a rewarding salary and benefits package. We’re committed to providing our people with the best opportunities to develop their skills, share their knowledge, and push their innovative ideas to the cutting edge. Having fun doing it with a team that feels like family all across BlueHalo nation is the ultimate park. From Space and Directed Energy to Cyber and Intelligence to C4ISR and Air & Missile Defense, there is no limit to where you can take your career with us. Are you ready to launch a career at BlueHalo? Responsibilities The applicant will work with a cross-disciplinary team to perform activities associated with the design, development, and implementation of software for diverse space oriented scientific and engineering applications. A qualified applicant will be required to participate in the formulation of analytical and machine learning solutions to complex data problems by creating physics-based and Machine Learning based models as well as determining project specific data metrics for model evaluation. The ability to create physical, statistical and machine learning methods to build descriptive and predictive models as well as document the methods are a must for any potential applicants. Essential Functions: Analytical thinker with strong conceptual and problem-solving skills. Follow programming best practices. Attention to detail and communication skills. Work with a cross-disciplinary group to solve complex problems using physics, mathematics/statistics, and machine learning models. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Qualifications Required Education and Experience Master’s degree in Applied Mathematics, Electrical Engineering, or similar field Experience: 1 + year experience with machine learning techniques (Neural Networks and/or linear algebra-based methods) Mathematical Applications to Physics Data Analytics Statistics background Programming skills at least one of the following: Python, C, C++, R, Julia, and Rust Preferred Education and Experience: Ph.D. in Applied Mathematics, Electrical Engineering, or similar field Experience: 2 + year experience with machine learning techniques (Artificial Neural Networks, Spiking Neural Networks and/or linear algebra-based methods) Computational Neuroscience and/or Mathematical Biology Dynamical Systems Theory/Nonlinear Dynamics Information Theory Nonlinear signal/data processing Amazon Web Services, cloud based computing Programming skills at least two of the following: Python, C, C++, R, Julia, and Rust Experience with Machine learning frameworks such as PyTorch, ONNX, and/or other ML frameworks #LI-GY1 Leading the Transformation The BlueHalo Effect It speaks to who we are as a company, a global protective ring that shields everything we most want to safeguard, an unbroken line that ensures our customers retain the advantage in any battlespace, from high above the Earth to deep in cyberspace. It’s who we are, a halo, a protector, the light of inspired engineering keeping our Nation safe. Our vision is a world where national security is certain because technical superiority is assured. Join us and become a vital element of The BlueHalo Effect! EEO Statement BlueHalo is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for most positions. If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of the employment process, please send an email to Recruiting@bluehalo.com. Please indicate the specifics of the assistance needed. This option is reserved only for individuals who are requesting a reasonable workplace accommodation. It is not intended for other purposes or inquiries. Apply for this job online Refer this job to a friend Share on your newsfeed Application FAQs Software Powered by iCIMS www.icims.com
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