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Grad Engineer Jobs in Virginia (NOW HIRING)

Join IMEG as a Surve yor New Grad inManassas, VA,and begin your career shaping the foundations of communities and infrastructure. You'll work alongside experienced surveyors and engineers on diverse ...

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Grad Engineer information

What are the key skills and qualifications needed to thrive as a Graduate Engineer, and why are they important?

To thrive as a Graduate Engineer, you need a strong foundation in engineering principles, analytical problem-solving, and a relevant engineering degree. Familiarity with industry-standard software such as AutoCAD, MATLAB, or SolidWorks, and sometimes certifications like EIT (Engineer in Training), are commonly expected. Effective communication, teamwork, and adaptability help you excel in collaborative and fast-paced project environments. These skills ensure you can contribute effectively to technical projects, learn quickly, and support organizational goals as you develop professionally.

What opportunities for mentorship and professional development are typically available to Grad Engineers?

Grad Engineers often benefit from structured mentorship programs and regular training sessions, designed to help them transition smoothly into the professional engineering environment. They typically work closely with senior engineers and project managers, gaining hands-on experience and feedback on their work. Many organizations also encourage Grad Engineers to attend workshops, pursue certifications, and participate in cross-functional projects, fostering both technical skills and professional growth. These opportunities support career advancement and help Grad Engineers build a strong foundation for future leadership roles.

What are Grad Engineers?

Grad Engineers, short for Graduate Engineers, are individuals who have recently completed an engineering degree and are beginning their professional careers. They typically join organizations in entry-level engineering roles, where they receive training, mentorship, and hands-on experience in their chosen field. Grad Engineers are expected to apply the theoretical knowledge gained during their studies to real-world projects, contributing to problem-solving and innovation within their teams. Over time, they develop technical and professional skills that prepare them for more senior engineering positions.

What is the difference between Grad Engineer vs Junior Engineer?

AspectGrad EngineerJunior Engineer
Required CredentialsBachelor's degree in engineering or related field; internship or project experienceBachelor's degree in engineering; entry-level position
Work EnvironmentTraining programs, mentorship, learning-focusedProject work, task execution, supervised responsibilities
Employer & Industry UsageEntry-level role in engineering firms, manufacturing, constructionInitial role for recent graduates in similar industries

In summary, a Grad Engineer is typically a recent graduate undergoing training and development, while a Junior Engineer is an entry-level professional responsible for supporting engineering projects. Both roles require similar educational backgrounds, but the Grad Engineer position emphasizes learning and skill-building.

What cities in Virginia are hiring for Grad Engineer jobs? Cities in Virginia with the most Grad Engineer job openings:
Infographic showing various Grad Engineer job openings in Virginia as of May 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.
Machine Learning Engineer New Grad 2024-2025 -Remote

Machine Learning Engineer New Grad 2024-2025 -Remote

Quora

Harrisonburg, VA • Remote

$139.98K - $168.19K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 8 days ago


Job description

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Poe product.

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise
  • Identify new opportunities to apply Machine Learning to different parts of the Poe product
  • Work with other engineers to implement algorithms and systems in an efficient way
  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • Experience of transformer models and LLM applications
  • Strong knowledge of Python or C++, or the ability to learn them quickly
  • A passion for learning and always improving yourself and the team around you
Preferred Requirements:
  • Previous software engineering experience via an internship, work experience, or coding competition
  • Previous industry experience working on natural language processing, language modeling, etc.
  • Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

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