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Ai New Grad Jobs in Silver Spring, MD (NOW HIRING)

Ai New Grad information

See Silver Spring, MD salary details

$12

$23

$43

How much do ai new grad jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for ai new grad in Silver Spring, MD is $23.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $25.34 per hour, depending on experience, location, and employer.

What is an AI new grad?

AI New Grad roles are entry-level positions in the field of artificial intelligence (AI) designed for recent graduates from undergraduate or graduate programs. These roles typically involve working on machine learning, data analysis, natural language processing, or computer vision projects under the supervision of experienced engineers or researchers. AI New Grads gain practical experience, contribute to real-world AI solutions, and often receive mentorship to help them grow into more advanced roles in the industry.

What are common challenges new graduates face when starting in an AI role, and how can they overcome them?

New graduates entering AI roles often face challenges such as bridging the gap between academic theory and real-world application, adapting to collaborative team environments, and keeping pace with rapidly evolving technologies. To overcome these, it's helpful to seek mentorship from experienced colleagues, actively participate in code reviews, and engage in continuous learning through online courses or internal training. Embracing collaboration and asking questions early can accelerate the learning curve and help new grads contribute effectively to projects.

What are the key skills and qualifications needed to thrive as an AI new grad, and why are they important?

To thrive as an AI New Grad, you need a solid understanding of machine learning, programming (Python, TensorFlow, or PyTorch), and a degree in computer science or a related field. Familiarity with version control systems like Git, cloud platforms such as AWS or Google Cloud, and coursework or certifications in data science are typically expected. Critical thinking, strong problem-solving ability, and effective communication set standout candidates apart in collaborative, fast-paced environments. These skills and qualities ensure you can contribute to innovative projects, adapt to new technologies, and work well within technical teams.

What job categories do people searching Ai New Grad jobs in Silver Spring, MD look for?

The top searched job categories for Ai New Grad jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Ai New Grad jobs?

Cities near Silver Spring, MD with the most Ai New Grad job openings:

Infographic showing various Ai New Grad job openings in Silver Spring, MD as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 5% Part Time, and 1% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $48,390 per year, or $23.3 per hour.

Recruiter, University and Alternative Channel (R5635)

Shield AI

Washington, DC • On-site

$120K - $180K/yr

Full-time

Posted 3 days ago

New


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:

Shield AI's future engineering bench is built on campus. We are looking for a Sr. Staff Recruiter to own university recruiting end to end — the campus strategy, the full-cycle hiring of every intern, co-op, and new grad, the conversion of interns into full-time engineers, and the partnership with our internship program team that makes those conversions happen.

This is a single-threaded owner role. You will run the full university recruiting lifecycle — Plan, Attract, Engage, Assess & Hire, Convert, Retain, Optimize — across a standard slate of technical roles including Software Engineering (C++, autonomy), Systems Engineering, Electrical Engineering, Integration & Test, and Mechanical Engineering, plus select business functions. You will operate with real autonomy on strategy and real accountability for outcomes: demand fulfilled on time, offer accept rates in a brutally competitive market, and a 75% intern-to-full-time conversion target.

You are equal parts strategist, closer, and program partner. You are comfortable presenting a school portfolio and ROI analysis to a VP in the morning, running a technical calibration with hiring managers at midday, and closing a rising senior with three competing offers that night.

What you'll do:
  • Own Shield AI's university recruiting strategy end to end, including the target school portfolio, annual plan, calendar, and budget
  • Lead demand collection with business leaders for interns, co-ops, and intern-to-FTE conversions, driving iHIRE approvals and req postings on schedule
  • Build Shield AI's campus brand through technical storytelling, faculty and career center relationships, and engagement with robotics, AI, and diversity student organizations
  • Represent Shield AI at career fairs, tech talks, and info sessions, and build early pipelines of high-potential candidates ahead of req approval
  • Run full-cycle recruiting for all intern, co-op, and new grad roles across software, systems, electrical, integration and test, and mechanical engineering
  • Maintain a structured, bias-reduced evaluation process and run intern interview training and calibration to keep the bar consistent across teams and sites
  • Extend timely offers within the standard framework by role, location, and level, and partner with Compensation on salary and housing stipend benchmarking
  • Own the accepted-offer-to-Day-1 experience to reduce reneges and strengthen onboarding readiness
  • Partner with the intern program team on mentorship matching, project scoping, reviews, and intern events
  • Own the intern conversion cycle, from identifying full-time-eligible interns through extending return-intern and full-time offers
  • Report on demand fulfillment, offer and accept rates, conversion, diversity, and school ROI, and use those metrics to reshape each season's strategy
Required qualifications:
  • 5+ years of full-cycle recruiting experience, with at least 3 years focused on university, early-career, or campus recruiting
  • Demonstrated ownership of a campus strategy end to end — school selection, event planning, budget, and season execution — not just requisition execution
  • Track record of high-volume technical hiring for engineering roles, and of closing candidates in a competitive market
  • Experience partnering directly with senior business and engineering leaders on workforce planning and demand
  • Strong data instincts: you build and use funnel metrics, conversion rates, and ROI analysis to make decisions and to influence leaders
  • Proficiency with an ATS and sourcing tools; comfort building process, templates, and reporting from scratch
  • Excellent written and verbal communication; you represent the company credibly to students, faculty, and executives
  • Willingness to travel during peak campus season
  • A demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
Preferred qualifications:
  • Experience recruiting in AI, robotics, aerospace, or defense technology
  • Experience running or supporting an internship or co-op program, including intern-to-full-time conversion processes
  • Familiarity with U.S. defense-industry hiring considerations, including export control (ITAR/EAR) and work authorization requirements for early-career candidates
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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.