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Machine Learning Scientist

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Company :
General Atomics

Location :
San Diego, California

Expiry Date :
Mon, 26 Apr 2021 23:59:59 GMT

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Description :
Job Summary General Atomics (GA), and its affiliated companies, is one of the world’s leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies. We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. We currently have an exciting opportunity for a Machine Learning Scientist to perform a mix of theoretical and applied research work to help conceive, design, and implement new methods in high-performance machine learning within General Atomics Magnetic Fusion Energy group located in San Diego, Ca. This position, under general supervision with limited review works in close collaboration with scientific partners to identify and address challenging, large-scale, data-rich problems emerging from simulations, experiments, and observations. Duties And Responsibilities – Perform collaborative scientific research in the areas of machine learning, artificial intelligence, data analytics, and related topics. – Design and develop machine learning and statistical models, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured scientific data. – Work independently to design, implement, and deploy machine learning algorithms. – Designing neural network architectures, training both bespoke and pre-architected; shallow, deep and recurrent networks. – Execute all steps in the analytic process to produce high quality, production ready ML models. – Work with a team of physicists and computer scientists to support the development and application of ML/AI concepts to elucidate deeper scientific understanding of fundamental processes. – Design tests for machine learning algorithm effectiveness and performance monitoring. – Disseminate work in peer-reviewed papers, conference presentations or patents where applicable. – Oversee the entire machine learning pipeline, from data curation/preprocessing to deployment. – Performs other duties as assigned or required. Job Qualifications – Typically requires a Bachelors degree, Masters degree, or PhD in Computer Science, Statistics, Mathematics, Physics or Engineering or related technical field and progressively complex scientific experience as follows; four or more years experience with a Bachelors degree and two or more years experience with a Masters degree. – The ability to solve complex problems through data exploration, model building and building data products. – Excellent experience with modern data science programming toolsets such as (Python, Jupyter or similar notebook environment, PyTorch / Tensorflow or similar machine learning framework). – Excellent data intuition and analytical skills (understanding and identifying sources of bias, able to derive insight from unstructured data). – Good understanding of modern machine learning algorithms (tree models, SVM, deep learning) and an eagerness to learn new technologies and follow industry best practices in an ever-evolving field. – Must have a general understanding of scientific software development design concepts, principles, and theory and demonstrate complete understanding and application of programming and analysis concepts. – Good communication and interpersonal skills are required to enable an effective interface with other scientists, engineers and managers from different institutions both domestic and international – Experience in the Linux environment including tools for configuring, building, linking, debugging, profiling, maintaining software and version control. – Must possess the ability to understand new concepts quickly and apply them accurately throughout an evolving environment and organize work assignments to meet established timetables. – Experience in Object Oriented Python, OO programming/analysis/design, and code optimization. Desirable qualifications include: – Familiarity with and experience using git or similar code versioning software. – Experience with software lifecycle development including specification, design, implementation, testing, & maintenance. – Have original work(s) published in professional scientific journals. Job Category Scientists Experience Level Mid-Level (3-7 years) Full-Time/Part-Time Full-Time Salary Travel Percentage Required 0% – 25% Relocation Assistance Provided? Yes US Citizenship Required? No Clearance Required? No The General Atomics(GA) group of companies is a world renowned leader in developing high – technology systems ranging from the nuclear fuel cycle to electromagnetic systems; remotely operated surveillance aircraft; airborne sensors; advanced electronic, wireless, and laser technologies; and biofuels. We offer an excellent opportunity to realize your full potential and fulfill your career aspirations.Join the GA Team where you can make a difference! Equal Opportunity / Affirmative Action Employer