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Machine Learning Software Engineer Intern Jobs in Washington

Ambarella

Software Engineer Intern

Washington, DC · On-site

Microcode summer intern engineers at Ambarella are responsible for the design, implement and test ... Must be comfortable with modern software development methodologies such as code review, unit ...

New

Somatus, Inc.

Machine Learning Engineer

Mclean, VA · On-site

$105K - $115K/yr

Partner with ML engineers, data engineers, software developers, product managers, data analysts, and clinical and operations team members to deliver machine learning solutions that make an impact ...

THOMSON REUTERS

Machine Learning Engineer

Mclean, VA

About the Role As a Machine Learning Engineer, you will be responsible for selecting, developing ... You will collaborate closely with a cross-functional team of DevOps engineers, Software Developers ...

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Machine Learning Software Engineer Intern information

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a machine learning software engineer intern?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Washington?

The most popular types of Machine Learning Software Engineer jobs in Washington are:

What cities in Washington are hiring for Machine Learning Software Engineer Intern jobs?

Cities in Washington with the most Machine Learning Software Engineer Intern job openings:

Machine Learning Software Engineer Intern jobs near you

NLM Deep Learning Software Developer

Lexical Intelligence LLC

Bethesda, MD • On-site

$90K - $100K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 20 days ago

Job description

Deep Learning Software Developer
Lexical Intelligence provides software and services related to processing large-scale biomedical information sources. Our Natural Language Processing (NLP) and analytics software is used by policy and decision makers to evaluate and prioritize current and emerging areas of research.
Overview:
We are seeking a Deep Learning Software Developer to support projects at the Applied Clinical Informatics Branch (ACIB), Lister Hill National Center for Biomedical Communications (LHNCBC), National Library of Medicine (NLM), National Institutes of Health (NIH). This
position involves applying deep learning techniques to biomedical images and clinical data for clinical decision-making and prediction. The role focuses on the development of tools for retinal disease detection, severity classification, disease progression prediction, and more. The ideal candidate will have a strong background in deep learning, particularly for medical image analysis, and experience with high-performance computing environments.
Key Responsibilities:
  • Develop deep learning models to support clinical decision-making for retinal diseases using retinal images, genomic data, and clinical records
  • Develop algorithms for disease detection, severity classification, and longitudinal progression prediction, focusing on retinal diseases as well as other patient data.
  • Build and optimize deep learning tools for deployment on Android/iOS/Web-based
    platforms.

Required Skills and Experience:
  • Ph.D. in computer science, computer engineering, or relevant field or M.S. with 5+ years of relevant experience in image analysis, machine learning, and deep learning.
  • Proven experience writing manuscripts or papers for journals and conferences.
  • Extensive experience with medical image processing, data analysis, and classification techniques.
  • Expertise in developing custom deep learning workflows, including visualizing activations.
  • Strong understanding of machine learning techniques, including Support Vector Machines (SVM), Multilayer Perceptron (MLP), and Convolutional Neural Networks (CNNs).
  • Proficiency in Decision Tree algorithms such as Random Forest, XGBoost, and LightGBM.
  • Experience in statistical analysis of experimental results.
  • Familiarity with Linux and Windows environments.
  • Hands-on experience with high-performance GPU clusters and multi-GPU setups for deep learning tasks.
  • Expertise in programming with Python, Keras, and PyTorch.
  • Experience in developing Android, iOS, or web applications.

Required Professional and Personal Qualities:
  • Strong organizational and time management skills, with flexibility to adapt to shifting priorities.
  • Ability to write clean, efficient, and well-documented code.
  • Excellent interpersonal skills, with the ability to both collaborate and work independently.
  • Strong oral and written communication skills, with the ability to clearly document projects and provide regular status reports.
  • Highly detail-oriented with the ability to manage multiple tasks and deliver results in a timely manner.

Salary and Benefits: We offer a competitive salary and a generous benefits package, including at no cost: full health and dental for you and your dependents, retirement and HSA accounts, short- and long-term disability insurance, life and accident insurance, paid time off, and 11 federal holidays.
Location: NIH Campus, Bethesda, MD
Equal Employment Opportunity Policy: Lexical Intelligence, LLC, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Lexical Intelligence, LLC | 2001 Veirs Mill Rd #546 | Rockville, MD 20851

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