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Machine Learning Assistant Jobs in Virginia (NOW HIRING)

Machine Operator Assistant

Grottoes, VA

$15.25 - $18.25/hr

Machine Operator Assistant| Grottoes, Virginia| Now Hiring Compensation: * Starting pay rate is a ... Learning Management System that supports and enhances employee skills at all levels of the ...

Machine Operator Assistant

Grottoes, VA · On-site

$15.25 - $18.25/hr

Machine Operator Assistant| Grottoes, Virginia| Now Hiring Compensation: * Starting pay rate is a ... Learning Management System that supports and enhances employee skills at all levels of the ...

Machine Operator Assistant

Grottoes, VA

$15.25 - $18.25/hr

Machine Operator Assistant| Grottoes, Virginia| Now Hiring Compensation: * Starting pay rate is a ... Learning Management System that supports and enhances employee skills at all levels of the ...

Machine Operator Assistant

Grottoes, VA

$15.25 - $18.25/hr

Machine Operator Assistant| Grottoes, Virginia| Now Hiring Compensation: * Starting pay rate is a ... Learning Management System that supports and enhances employee skills at all levels of the ...

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

... machine learning, streaming analytics, and data visualization. • Assist in testing, governance, data quality, training, and documentation efforts. • Mentor junior data scientists and data ...

May use machine learning and statistical approaches based on the analysis of the dataset. May ... May assist with the selection of appropriate analytical approaches towards automation. Reviews and ...

May use machine learning and statistical approaches based on the analysis of the dataset. May ... May assist with the selection of appropriate analytical approaches towards automation. Reviews and ...

... machine learning models and large language models. • Conduct research to provide technical ... capabilities that assist with data ingestion, feature engineering, data management, and ...

... machine learning models and large language models. • Conduct research to provide technical ... capabilities that assist with data ingestion, feature engineering, data management, and ...

... machine learning models and large language models. • Conduct research to provide technical ... capabilities that assist with data ingestion, feature engineering, data management, and ...

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Machine Learning Assistant information

What are the key skills and qualifications needed to thrive as a Machine Learning Assistant, and why are they important?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a Machine Learning Assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What is a Machine Learning Assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.
What are the most commonly searched types of Machine Learning jobs in Virginia? The most popular types of Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Machine Learning Assistant jobs? Cities in Virginia with the most Machine Learning Assistant job openings:

Research Assistant Professor of Software Engineering & Optimization - School of Engineering, Arch...

Hampton University Faculty

Hampton, VA • On-site

Full-time

Posted 4 days ago


Job description

Description
The Hampton University School of Engineering, Architecture and Aviation is seeking a candidate for appointment in the Department of Electrical and Computer Engineering as a Research Assistant Professor of Software Engineering & Optimization. The position will be filled immediately or will remain open until filled. This position is located in Hampton, Virginia.
Founded in 1868, Hampton University ( www.hamptonu.edu ) is located on approximately 300 acres of the Virginia Peninsula. It is a privately endowed, co-educational, nonsectarian institution of higher education and is fully accredited by the Southern Association of Colleges and Schools (SACS).
Hampton University, an Historically Black College and University (HBCU), is enjoying tremendous growth and development from a traditionally teaching to a more research-intensive institution.
Hampton University is currently an R2 Carnegie classification institution of higher learning with a primarily undergraduate student population of approximately 4,200 students pursuing degrees in diverse areas of study.
It is pertinent to note that Hampton University is a consortium member of the Research Institute for Tactical Autonomy (RITA), which is a University Affiliated Research Center (UARC) funded by the Department of Defense/Department of the Air Force. The selected candidate will conduct research for the RITA UARC and must be a US Citizen.
Duties and Responsibilities
Hampton University is seeking a candidate for an appointment at the Research Assistant Professor of Software Engineering & Optimization. The individual selected for this position will be expected to contribute to the research missions of the Departments of Electrical & Computer Engineering and the RITA UARC by conducting research related to Autonomy, Artificial Intelligence and Machine Learning. The selected candidate will be responsible for supervising undergraduate students and working with the Engineering and Aviation faculty to complete research tasks assigned by the RITA UARC.
Qualifications
The successful applicant must have a master's degree or doctorate degree in either Computer Engineering, Computer Science, Electrical Engineering, or a closely related field with expertise in the one or more of the following areas: machine learning, reinforcement learning, artificial intelligence, optimal control theory, optimization, cognitive science, social science, tactical autonomy, and/or cloud-based computing.
The successful candidate will possess the following skills and abilities:
  • An established record of research: The candidate should have a strong track record of publishing high-quality research papers in top-tier journals and conferences.
  • A deep understanding of Al/ML: The candidate should have a deep understanding of the theoretical foundations of Al/ML, as well as the latest advances in these fields. They should also be familiar with a variety of Al techniques.
  • A proven ability to mentor students: The candidate should have a proven ability to mentor and train undergraduate researchers. They should be able to create a supportive learning environment that encourages students to reach their full potential.
  • Understanding algorithm development and optimization (genetic algorithms LP/SQP) techniques.
  • State machine learning (a plus)
How to Apply
Review of applications will begin immediately and will continue until the position is filled. The compensation package will be commensurate with experience. All interested applicants should submit a cover letter, curriculum vitae, research statement and a completed Hampton University Application for Faculty Employment form electronically (only) to joyce.shirazi@hamptonu.edu:
Dr. Joyce Shirazi
Dean, School of Engineering, Architecture and Aviation
Hampton University
Hampton, VA 23668
joyce.shirazi@hamptonu.edu
Forms
Visit https://home.hamptonu.edu/hr/employment/ to retrieve the faculty employment application and other supplemental application materials.