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New Grad Machine Learning Jobs in Annapolis, MD (NOW HIRING)

Autodesk

Senior Machine Learning Test Engineer

Washington, DC · On-site +1

$125K - $162K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Passion for learning new technologies and improving existing systems * Experience with cloud ...

AppFolio

Sr. Machine Learning Engineer

Washington, DC · On-site

$118K - $162K/yr

It enables a new generation of intelligent capabilities across our products, including Realm-X ... Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ...

Comcast

Machine Learning Engineer (GoLang)

Washington, DC · On-site

$142K - $213K/yr

The platform emphasizes modularity, scalability, and extensibility to support new ML models ... Machine Learning Platform team**. This role focuses on building **scalable backend systems** that ...

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All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Annapolis, MD

New Grad Machine Learning information

See Annapolis, MD salary details

$25.2K

$42.2K

$87.1K

How much do new grad machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for new grad machine learning in Annapolis, MD is $42,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.
What cities near Annapolis, MD are hiring for New Grad Machine Learning jobs? Cities near Annapolis, MD with the most New Grad Machine Learning job openings:
New Grad Machine Learning jobs near you
Infographic showing various New Grad Machine Learning job openings in Annapolis, MD as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,155 per year, or $20.3 per hour.

Machine Learning Engineer with Security Clearance

Johns Hopkins University Applied Physics Laboratory

Laurel, MD • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

Description Do you have demonstrated machine learning experience and want to apply that experience to solving a wide variety of complex problems in this rapidly evolving field? Do you thrive in a collaborative research environment, working alongside an energetic, multidisciplinary team of scientists and engineers? Are you ready to help the US secure and maintain leadership in the development and deployment of AI/ML algorithms for non-kinetic defense systems? If so, we're looking for someone like you to join our team at APL! We are seeking an experienced Machine Learning Engineer who will contribute to all phases of the machine learning algorithm development and implementation. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges. As a Machine Learning Engineer, you will... * Design, implement, and evaluate advanced machine learning algorithms to solve challenging real-world planning, perception, coordination, and control problems in support of national defense. * Develop software pipelines to integrate data streams, simulation environments, and intelligent decision-making algorithms.
* Work with technologies and concepts at the cutting edge of AI, including but not limited to: deep reinforcement learning, foundation models, large language models, convolutional/recurrent/graph neural networks, computer vision, and physics-based modeling and simulation tools. * Collaborate closely with the talented team of scientists and engineers in our group and with others across APL.
* Engage directly with sponsors to communicate proposed concepts, solutions, and analysis. Qualifications You meet the minimum requirements for the job if you... * Have a Bachelor's degree in Mathematics, Physics, Engineering, Computer Science, or a related field.
* Have at least 2+ years of experience in machine learning and data science fields.
* Have at least one year of hands-on experience applying/developing machine learning algorithms using common libraries such as PyTorch or TensorFlow.
* Have strong foundational knowledge in at least two of the following: classification, clustering, deep learning, reinforcement learning, computer vision (object detection and visual tracking), multi-agent systems, or optimization/control theory.
* Have demonstrated experience in working with version control software like Git.
* Have strong, effective communication skills both verbal and written.
* Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You 'll go above and beyond our minimum requirements if you... * Have an MS in Mathematics, Physics, Engineering, Computer Science, or a related field.
* Have 5+ years of experience in designing and implementing AI/ML algorithms for a variety of datasets.
* Have proven experience applying state-of-the-art deep learning techniques to solve distributed resource allocation problems.
* Have hands-on experience building computer vision pipelines for detection, tracking, segmentation, or multi-modal sensor fusion.
* Have experience with modeling and simulation platforms such as AFSIM, Blender, Unity, or Unreal.
* Are comfortable working in high performance computing environments (GPU/CPU clusters).
* Have proficiency in one or more of the following technology areas: multi-agent reinforcement learning, geometric deep learning, multi-modal sensor fusion, agentic AI.
* Have a track record of writing deployable, production-level code (Python, C/C++) for real-world applications.
#LI-KW1 About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact . The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $100,000 Annually Maximum Rate $245,000 Annually

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