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Entry Level Graduate Web Developer Jobs in Frederick, MD

Software Developer Intern

Gaithersburg, MD

$20.75 - $27.25/hr

... Our Graduate Internship Program is tailored for individuals passionate about the technology ... Develop, Test and Debug programs, web applications and system interfaces in accordance with client ...

Entry Level Graduate Web Developer information

See Frederick, MD salary details

$31.8K

$93.6K

$160.6K

How much do entry level graduate web developer jobs pay per year?

As of May 29, 2026, the average yearly pay for entry level graduate web developer in Frederick, MD is $93,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $100,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Graduate Web Developer, and why are they important?

To thrive as an Entry Level Graduate Web Developer, you need a solid understanding of HTML, CSS, JavaScript, and foundational programming concepts, typically gained through a computer science degree or coding bootcamp. Familiarity with version control systems like Git, basic knowledge of frameworks such as React or Angular, and experience using development tools like Visual Studio Code are commonly required. Strong problem-solving abilities, attention to detail, and effective communication enhance collaboration within development teams. These skills are essential for building reliable, maintainable web applications and contributing effectively to projects in a fast-paced tech environment.

What are some common challenges faced by entry level graduate web developers during their first few months on the job?

Entry level graduate web developers often encounter challenges such as adapting to new codebases, learning company-specific development workflows, and collaborating within a team environment. It's common to feel overwhelmed by unfamiliar technologies or frameworks, but most teams provide onboarding support and mentorship to help new hires transition smoothly. Effective communication, asking questions, and actively seeking feedback can help overcome these initial hurdles and accelerate professional growth.

What does an Entry Level Graduate Web Developer do?

An Entry Level Graduate Web Developer is responsible for creating, maintaining, and updating websites and web applications under the supervision of more experienced developers. Their tasks typically include writing code in languages like HTML, CSS, and JavaScript, debugging issues, and collaborating with designers and other team members. This role is ideal for recent graduates who are building their skills and gaining professional experience in the field of web development.

What is the difference between Entry Level Graduate Web Developer vs Junior Web Developer?

AspectEntry Level Graduate Web DeveloperJunior Web Developer
Required CredentialsTypically a recent degree or diploma in web development, computer science, or related fieldOften a few months to 1 year of experience, may have similar educational background
Work EnvironmentInternships, entry-level positions, or training programs in tech companies or agenciesFull-time roles in various industries, supporting web projects
Employer & Industry UsageUsed by employers hiring fresh graduates or entry-level candidatesCommonly used for early-career web developers gaining practical experience

The main difference is that a Entry Level Graduate Web Developer is usually a recent graduate with limited or no professional experience, often in training or internship roles. A Junior Web Developer typically has some practical experience and is working in a full-time position, building on foundational skills. Both roles serve as stepping stones in a web development career, but the graduate role emphasizes learning and training, while the junior role involves more independent project work.

Infographic showing various Entry Level Graduate Web Developer job openings in Frederick, MD as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $93,609 per year, or $45 per hour.

NIST PREP Research Associate in Artificial Intelligence and Machine Learning Robotics Engineering

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$75K - $85K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: Artificial Intelligence & Machine Learning Robotics Engineer / NIST GenAI Research Associate
The work will entail: This position involves providing software and web development support for evaluation activities in the Artificial Intelligence Group (774.02) at NIST. Specifically, the work will support NIST GenAI evaluation series (https://ai-challenges.nist.gov/genai).
The candidate will assist in developing cutting-edge human assessment infrastructure and social cognition assessments that support evaluations in various modalities (such as text, voice, image, and video). The infrastructure includes a web platform, evaluation pipeline (backend/frontend), database schema, and other related tasks. The development includes datasets using frontier AI/LLM tools, conducting experiments, performing statistical analysis, and writing technical reports. The candidate will work alongside NIST researchers to advance measurement science through cutting-edge research and evaluations in the field of Generative AI.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
  • Evaluating Agentic AI applications in robotics and drones within the manufacturing sector.
  • Analyzing AI-generated content by extracting linguistic, syntactic, semantic, and structural features, and using computational methods to compare LLM judgments with human perception and behavioral responses.
  • Engineering prompt pipelines to generate controlled AI-generated content across models and other experimental conditions
  • Apply pre/post-processing techniques for adversarial attacks on signals from multiple modalities (Audio, Image, and Text)
  • Apply signal analysis methods (information theory, topological data analysis, spectral methods) on high-dimensional representation spaces
  • Upgrade, maintain, and develop NIST GenAI software and evaluation pipelines.
  • Develop baseline systems to benchmark AI models on synthetic content generation and detection.
  • Curate datasets for synthetic content detection, aligned with real-world forensic applications.
  • Managing data, such as querying and translating data formats/specifications.

Qualifications
This individual must have the following minimum knowledge, skills, and abilities:
  • Proficiency in shell scripts (Bash, etc.) and coding (e.g., Python, Java, Java Script, R, C and C++).
  • Proficiency in database management (e.g., PostgreSQL, MongoDB).
  • Background in robotics engineering or AI evaluations involving LLM as judge, study design, and data analysis
  • Real-time code development using a distributed computing environment.
  • Experience in applying machine learning and deep learning methods to audio and image processing tasks
  • Experience with Computer Vision and Array Signal Processing (adaptive and non-adaptive filtering)
  • Experience with open-source and API-based AI models in the domain of synthetic data.
  • Experience in statistical analysis methods to test and compare AI models on forensic tasks.
  • Experience with signal processing techniques like Cosine, Fourier, and Wavelet transforms for feature extraction of digital and time-series data.
  • Experience using GPU-accelerated clusters and CUDA for deploying open-source models.
  • Experience using cloud computing (such as Azure and GCP) and integrating cloud-based APIs.
  • Mastery of the principles, practices, methods in a specialty of a technical professional field (in science, AI/ML engineering, computer science, robotics engineering, information technology, or mathematics, or related field).

Furthermore, the following knowledge skills, and abilities are preferred:
  • Previous Experience in a full-stack web developer with tools potentially including using Ruby on Rails: Rails5, Postgres, HTML/CSS, Javascript
  • Experience with jupyter notebooks, R, Shiny and interactive plots
  • Experience in Cross platform software development (Linux, Mac OS X, Windows)
  • Experience/interest in machine learning and AI test and evaluation

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
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