Job Description SummaryEmbark on Your AI Journey in HealthcareAre you eager to dive into the world of AI and make a significant impact in healthcare? GE Healthcare is inviting passionate and aspiring MLE Interns to join our dynamic AI team. Seize this opportunity to contribute to groundbreaking work in generative AI, and play a part in shaping the future of medical imaging, precision medicine, and healthcare efficiency.Your Role:As an MLE Intern, you'll gain hands-on experience by working alongside our skilled science and business teams. You'll be instrumental in enhancing the AI-driven aspects of our healthcare solutions, learning from and contributing to projects that utilize extensive datasetsincluding text, images, and multimodal patient datato solve real healthcare problems.Job DescriptionInternship Highlights:Assist in developing cutting-edge machine learning models, particularly focusing on Large Language Models (LLMs), to streamline clinical operations using diverse data sources like medical images, electronic health records, patient waveforms, and clinical documentation.Participate in ensuring the accuracy and effectiveness of algorithms across varied patient demographics, involving statistical analysis and error assessment.Help build and refine prototypes, gaining insights into transforming them into scalable, efficient code for real-world applications.Stay up-to-date with the latest trends and advancements in AI algorithms and technologies.Contribute to the development of adaptable software and data systems, which emphasize modular components for use across various teams and projects.Basic Qualifications:Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related field, with a keen interest in machine learning and AI.Familiarity with core areas of computer science such as Natural Language Processing, Computer Vision, Machine Learning, or Deep Learning.Basic knowledge of programming in languages like Python, Java, C/C++, etc.Eagerness to learn about deploying applications in production environments and understanding operational best practices.An interest in working with complex, real-world medical and patient data.Curiosity and a willingness to learn about large-scale data processing, AI model training, and related techniques.Kickstart Your Career:Join GE Healthcare as an MLE Intern and be part of a team that's not just talking about the future of healthcare you'll be actively building it. This internship is your gateway to a world of AI innovation and a stellar start to your career in machine learning.Eligibility RequirementsLegal authorization to work in the U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills.While GEHC does not currently require U.S. employees to be vaccinated against COVID-19, some GEHC customers have vaccination mandates that may apply to certain GEHC employees.About TeamGE Healthcare teams are based in the US (San Ramon, Seattle), France, Israel (Tel Aviv), and India (Bangalore). This gives us several core overlap hours for shared meetings.Mentorship & Career GrowthWe maintain diverse engineering, and leadership perspectives and backgrounds across technology and beyond. Our employees are excited to share their experiences and mentor more junior engineers. Team members are highly encouraged to set up mentorship relationships with seasoned engineers, not only in our team, but also across the broader GE Healthcare population.The pay rate for this position is $45-60/hr.Inclusive Team CultureHere at GEHC, we embrace our differences. We are committed to furthering our culture of inclusion. We have many employee-led affinity groups, innovative benefit offerings, and encourage ongoing learning experiences. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership always with unyielding integrity.About UsAt GE HealthCare (NASDAQ: GEHC), we see possibilities through innovation. Were partnering with our customers to fulfill healthcares greatest potential through groundbreaking medical technology, intelligent devices, and care solutions. Better tools enabling better patient care. Together, we are not only building a healthier future but living our purpose to create a world where healthcare has no limits.GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.Additional InformationGE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.Relocation Assistance Provided:No#J-18808-Ljbffrby Jobble

The engineer in this role will join a multidisciplinary R&D team focused on the development of machine learning algorithms focused on applications including, but not limited to, materials science, analytical chemistry, and related scientific disciplines. We are looking for an engineer with core competencies in the areas of data-driven and quantitative modeling, as well as having the necessary science and engineering background to develop and deliver effective machine learning-based software solutions for our customers. The ideal candidate would have a background in both machine learning, and materials science and/or chemistry and physics. The successful candidate will actively participate in all stages of the model life cycle, from ideation to deployment, for tasks that include, but are not limited to, exploratory data analysis, dataset preparation, model implementation, model training, model evaluation, model-based optimization, synthetic data generation, and first-principles modeling and simulation. They will collaborate with other engineers and subject matter experts to achieve deployment of the algorithms to edge devices, desktop applications, and cloud services. Basic Qualifications: <ul><li>Candidate must be a US Citizen, and the ability to obtain/maintain a Security Clearance is preferred</li><li>Bachelor's in Engineering, Computer Science, Math/Statistics, Physics, or related STEM Discipline (Master's or PhD is a plus)</li><li>A background in materials science, chemistry, or physics is preferred</li><li>Strong programming skills in Python</li><li>Experience with machine learning frameworks such as PyTorch or TensorFlow/Keras</li><li>Familiarity with machine learning methods for classification, regression, clustering, dimensionality reduction, and generative modeling</li><li>Good proactive communication (oral, written, presentation), interpersonal, and organizational skills</li></ul> Desired Qualifications: <ul><li>Experience in applying machine learning to computer vision and natural language processing is a plus</li><li>Experience with CUDA and/or OpenCL is a plus</li><li>Experience deploying machine learning models to production environments</li><li>Experience in a research and development environment</li><li>A history of peer-reviewed publications</li></ul> Location: This role is based in the Huntsville, AL area, and is onsite. About CFD Research: Since its inception in 1987, CFD Research has been a technology leader in engineering simulations and innovative designs. CFD Research has worked with government agencies, businesses, and academia to provide innovative solutions within the Aerospace & Defense, Biomedical & Life Sciences, and Energy & Materials industries. CFD Research has earned multiple national awards for successful application and commercialization of innovative technology prototypes, multi-physics simulation software, multi-disciplinary analyses, and expert support services. CFD Research's impressive three-year growth rate was high enough to recognize the company in the Inc. Magazine's 5000 for the second year in a row. Benefits: CFD Research offers competitive salaries and excellent employee benefits, including an employer matching 401(k) and Employee Stock Ownership Plan (ESOP). CFD Research offers a highly competitive insurance package, including medical, vision, and dental insurance. We offer company paid leave, compensation time, parental leave, long-term disability, accidental death and dismemberment, and life insurance. Performance appraisals occur twice a year and annual pay increases are based upon corporate goals, personal development, performance, and outstanding achievements. In addition, group and individual bonuses are awarded for exceptional performance. CFD Research is an EO employer - Veterans/Disabled and other protected categories

<h3>Job Description</h3><div>Job Description<div>The engineer in this role will join a multidisciplinary R&D team focused on the development of machine learning algorithms focused on applications including, but not limited to, materials science, analytical chemistry, and related scientific disciplines. We are looking for an engineer with core competencies in the areas of data-driven and quantitative modeling, as well as having the necessary science and engineering background to develop and deliver effective machine learning-based software solutions for our customers. The ideal candidate would have a background in both machine learning, and materials science and/or chemistry and physics. The successful candidate will actively participate in all stages of the model life cycle, from ideation to deployment, for tasks that include, but are not limited to, exploratory data analysis, dataset preparation, model implementation, model training, model evaluation, model-based optimization, synthetic data generation, and first-principles modeling and simulation. They will collaborate with other engineers and subject matter experts to achieve deployment of the algorithms to edge devices, desktop applications, and cloud services.Basic Qualifications:<ul><li>Candidate must be a US Citizen, and the ability to obtain/maintain a Security Clearance is preferred</li><li>Bachelor's in Engineering, Computer Science, Math/Statistics, Physics, or related STEM Discipline (Master's or PhD is a plus)</li><li>A background in materials science, chemistry, or physics is preferred</li><li>Strong programming skills in Python</li><li>Experience with machine learning frameworks such as PyTorch or TensorFlow/Keras</li><li>Familiarity with machine learning methods for classification, regression, clustering, dimensionality reduction, and generative modeling</li><li>Good proactive communication (oral, written, presentation), interpersonal, and organizational skills</li></ul>Desired Qualifications:<ul><li>Experience in applying machine learning to computer vision and natural language processing is a plus</li><li>Experience with CUDA and/or OpenCL is a plus</li><li>Experience deploying machine learning models to production environments</li><li>Experience in a research and development environment</li><li>A history of peer-reviewed publications</li></ul>Location: This role is based in the Huntsville, AL area, and is onsite. About CFD Research: Since its inception in 1987, CFD Research has been a technology leader in engineering simulations and innovative designs. CFD Research has worked with government agencies, businesses, and academia to provide innovative solutions within the Aerospace & Defense, Biomedical & Life Sciences, and Energy & Materials industries. CFD Research has earned multiple national awards for successful application and commercialization of innovative technology prototypes, multi-physics simulation software, multi-disciplinary analyses, and expert support services. CFD Research's impressive three-year growth rate was high enough to recognize the company in the Inc. Magazine's 5000 for the second year in a row.Benefits: CFD Research offers competitive salaries and excellent employee benefits, including an employer matching 401(k) and Employee Stock Ownership Plan (ESOP). CFD Research offers a highly competitive insurance package, including medical, vision, and dental insurance. We offer company paid leave, compensation time, parental leave, long-term disability, accidental death and dismemberment, and life insurance. Performance appraisals occur twice a year and annual pay increases are based upon corporate goals, personal development, performance, and outstanding achievements. In addition, group and individual bonuses are awarded for exceptional performance.CFD Research is an EO employer - Veterans/Disabled and other protected categories Job Posted by ApplicantPro </div></div>

The engineer in this role will join a multidisciplinary R&D team focused on the development of machine learning algorithms focused on applications including, but not limited to, materials science, analytical chemistry, and related scientific disciplines. We are looking for an engineer with core competencies in the areas of data-driven and quantitative modeling, as well as having the necessary science and engineering background to develop and deliver effective machine learning-based software solutions for our customers. The ideal candidate would have a background in both machine learning, and materials science and/or chemistry and physics. The successful candidate will actively participate in all stages of the model life cycle, from ideation to deployment, for tasks that include, but are not limited to, exploratory data analysis, dataset preparation, model implementation, model training, model evaluation, model-based optimization, synthetic data generation, and first-principles modeling and simulation. They will collaborate with other engineers and subject matter experts to achieve deployment of the algorithms to edge devices, desktop applications, and cloud services.Basic Qualifications:<ul><li>Candidate must be a US Citizen, and the ability to obtain/maintain a Security Clearance is preferred</li><li>Bachelor's in Engineering, Computer Science, Math/Statistics, Physics, or related STEM Discipline (Master's or PhD is a plus)</li><li>A background in materials science, chemistry, or physics is preferred</li><li>Strong programming skills in Python</li><li>Experience with machine learning frameworks such as PyTorch or TensorFlow/Keras</li><li>Familiarity with machine learning methods for classification, regression, clustering, dimensionality reduction, and generative modeling</li><li>Good proactive communication (oral, written, presentation), interpersonal, and organizational skills</li></ul>Desired Qualifications:<ul><li>Experience in applying machine learning to computer vision and natural language processing is a plus</li><li>Experience with CUDA and/or OpenCL is a plus</li><li>Experience deploying machine learning models to production environments</li><li>Experience in a research and development environment</li><li>A history of peer-reviewed publications</li></ul>Location: This role is based in the Huntsville, AL area, and is onsite. About CFD Research: Since its inception in 1987, CFD Research has been a technology leader in engineering simulations and innovative designs. CFD Research has worked with government agencies, businesses, and academia to provide innovative solutions within the Aerospace & Defense, Biomedical & Life Sciences, and Energy & Materials industries. CFD Research has earned multiple national awards for successful application and commercialization of innovative technology prototypes, multi-physics simulation software, multi-disciplinary analyses, and expert support services. CFD Research's impressive three-year growth rate was high enough to recognize the company in the Inc. Magazine's 5000 for the second year in a row.Benefits: CFD Research offers competitive salaries and excellent employee benefits, including an employer matching 401(k) and Employee Stock Ownership Plan (ESOP). CFD Research offers a highly competitive insurance package, including medical, vision, and dental insurance. We offer company paid leave, compensation time, parental leave, long-term disability, accidental death and dismemberment, and life insurance. Performance appraisals occur twice a year and annual pay increases are based upon corporate goals, personal development, performance, and outstanding achievements. In addition, group and individual bonuses are awarded for exceptional performance.CFD Research is an EO employer - Veterans/Disabled and other protected categories

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Machine Learning Engineer Jobs in Huntsville, AL

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