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Internship Machine Translation Jobs in Maryland (NOW HIRING)

Internship Machine Translation information

What is an internship in machine translation?

An internship in machine translation is a temporary position, often for students or recent graduates, that provides practical experience working with technologies that automatically translate text or speech from one language to another. Interns typically assist with tasks such as building translation models, evaluating translation quality, and improving algorithms using machine learning techniques. The role offers hands-on exposure to natural language processing (NLP), coding, and research, and is valuable for those interested in computational linguistics or AI. It also allows interns to work with experienced professionals in the field and gain insights into both academic and industry practices.

What types of projects and technologies do interns typically work with during a machine translation internship?

As a Machine Translation intern, you can expect to work on projects involving the development, evaluation, or optimization of translation models using state-of-the-art technologies like neural networks, deep learning frameworks (such as TensorFlow or PyTorch), and large multilingual datasets. Interns frequently assist with data preprocessing, refining model architectures, and conducting quality assessments of translation outputs. Collaboration with research scientists, software engineers, and linguists is common, offering valuable exposure to both academic research and real-world product development environments. This hands-on experience is an excellent foundation for a career in natural language processing or computational linguistics.

What are the key skills and qualifications needed to thrive as an internship machine translation specialist, and why are they important?

To thrive in an Internship Machine Translation role, you generally need a background in computer science, linguistics, or a related field, with knowledge of natural language processing concepts. Familiarity with programming languages such as Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and translation tools is often required. Strong analytical thinking, attention to detail, and effective communication help interns collaborate on research and technical tasks. These skills are crucial for developing, testing, and improving translation systems that produce accurate and contextually appropriate results.

What are the most commonly searched types of Machine Translation jobs in Maryland?

The most popular types of Machine Translation jobs in Maryland are:

What are popular job titles related to Internship Machine Translation jobs in Maryland?

For Internship Machine Translation jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Internship Machine Translation jobs in Maryland look for?

The top searched job categories for Internship Machine Translation jobs in Maryland are:

What cities in Maryland are hiring for Internship Machine Translation jobs?

Cities in Maryland with the most Internship Machine Translation job openings:

Post Doctoral Fellow - Biostatistics and Data Science

University of Maryland, Baltimore

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

PTO

Re-posted 9 days ago


University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

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Job description

Job Description
POSTDOCTORAL FELLOW: The Maryland Psychiatric Research Center (MPRC) at the University of Maryland School of Medicine is recruiting a Postdoctoral Fellow for the Biostatistics and Data Science Laboratory led by Dr. Shuo Chen.
The is an internationally renowned research center, which is dedicated to providing treatment to patients with schizophrenia and related disorders, educating professionals and consumers about schizophrenia, and conducting basic and translational research into the manifestations, causes, and treatment of schizophrenia.
EssentialFunctions:
• Developing new statistical methods to model multimodal neuroimaging data, multi-omics data, electronic health record (EHR) and genetics data which are measured by longitudinally and cross-sectionally.
• Developing and applying machine learning and AI approaches to identify interactive topological relationships between various imaging modalities and multi-omics during aging and development.
• Implementing computationally intensive algorithms on high-performance computational clusters.
• Developing AI/ML-based causal inference models for real-world evidence applications (e.g., target trial emulations- TTE)
• Developing data integration methods to combine multiple massive datasets (UKBB, HCP, ENIGMA, and etc) and local trials and observational studies (e.g, UMMS EHR).
• Manuscript drafting and preparation.
• Performing other duties as assigned.
Qualifications
Qualifications
Minimum Qualifications:
Education:A Ph.D. degree in a quantitative field such as statistics, biostatistics, bioinformatics, computational biology, human genetics, computer science, or a closely related area is required.
Experience:Demonstrated experience in strong optimization computational skills, proficiency in one of the programming languages R, Matlab, and Python, and expertise in high-performance clusters are required.
Knowledge, Skills, and Abilities:
• Knowledge in advanced statistical theory and methods.
• Strong optimization and computational skills to process large-scale medical images and analyze multi-modal data effectively.
• Excellent interpersonal skills, including a positive and professional orientation towards faculty, staff, university officials, partner organizations, and other stakeholders.
The stipend for Postdoctoral Fellows is competitive and aligned with the number of full years of relevant postdoctoral experience. Relevant experience may include research, teaching, clinical duties, internships, or other work in a health-related field beyond the qualifying doctoral degree. Stipend levels are determined to meet or exceed the current listed on the website. Postdoctoral Fellows at the University of Maryland also receive a comprehensive benefits package that includes 10 days of annual leave, 15 days of sick leave, 3 personal days, all university-recognized holidays, and may also qualify for additional leave options.
For immediate consideration, please send a cover letter and a recent CV, including names and contact information of three references, to this link
To apply for this position or to seek additional information, please contact Dr. Chen at
For additional questions after application, please email at
UMB is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy.

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