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

Whether we are building schools to provide inspiring spaces for learning, roads to connect ... S. operates 28 offices across the country, with its headquarters in New York City. In 2024, the U.S ...

Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more ... New York, NY; Bellevue, WA; Washington, DC) $110,000-$110,000 USD Click here to learn more about ...

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Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more * Employer-paid life & disability insurance, fertility benefits, and mental health benefits * Time off ...

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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 24, 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 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 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 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 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 job categories do people searching New Grad Machine Learning jobs in Annapolis, MD look for?

The top searched job categories for New Grad Machine Learning jobs in Annapolis, MD are:

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:

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.

New Grad EHS Coordinator

Skanska USA

Washington, DC

$85K/yr

Full-time

Retirement

Posted 4 days ago


Job description

Job Overview

Skanska is searching for a dynamic EHS Coordinator. This is a great opportunity to start a career with a company that builds things that matter and values its team. We are proud to share our culture of diversity and inclusion.

The EH&S Coordinator is an entry level EHS position. The individual starting in this role is typically someone coming out of the trades or a new graduate just starting in the field. The EHS Coordinator may report to a project based EHS Manager or be placed on a smaller project by themselves. Provide safety support and technical assistance to project teams and be an excellent role model for Skanska and subcontractor personnel. Support project teams in identifying and providing solutions for construction and environmental hazards. The EH&S Coordinator must be a flexible and adaptable team player, as well as have strong communication and client service skills.

EHS Coordinator Qualifications:

  • Associates or Bachelor's Degree - Construction Management or EH&S or equivalent
  • Broad theoretical job knowledge typically obtained through advanced education.

EHS Coordinator Benefits of Working at Skanska:

  • Competitive Salary range (based on experience)
  • Excellent Insurance Package
  • 401k w/match and Excellent Employee Stock Purchase Plan
  • An amazing culture focused on Diversity and Inclusion

Our work makes a clear contribution to society and the environment around us. Whether we are building schools to provide inspiring spaces for learning, roads to connect communities or hospitals to care for patients, it all contributes to our purpose - we build for a better society.

Skanska's values -Be Better Together, Act Ethically and Transparently, Commit to Customer and Care for Life-are deeply engrained in how we work, which is why our values support and drive our D&I efforts. We are on a D&I journey  that is ongoing. It is a journey of continuous improvement-while we have come a long way, we still have more to go.

Come work with us and join a winning team!

Apply Today for Immediate Consideration!

Background Check Required

Skanska is an Equal Employment Opportunity (EEO) Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, disability, age, genetic information, citizenship, protected veteran status, or any other categories protected under applicable federal, state, and local laws.

Skanska Equal Employment Opportunity

Skanska uses knowledge & foresight to shape the way people live, work, and connect. More than 135 years in the making, we're one of the world's largest construction and project development companies. With operations in select markets throughout the Nordics, Europe, and the United States, global revenue totaled $15.9 billion in 2024.

Skanska in the U.S. operates 28 offices across the country, with its headquarters in New York City. In 2024, the U.S. construction sector generated $8.2 billion in revenue, and the U.S. development sector's net investments in commercial projects totaled $224 million.

Together with our customers and the collective expertise of our 6,300 teammates in the U.S. and 26,300 globally, we create innovative and sustainable solutions that support healthy living beyond our lifetime.  

Skanska's Applicant Privacy Policy for California Residents

Search Firm and Employment Agency Disclaimer Search Firm and Employment Agency Disclaimer Skanska USA Human Resources ("Skanska HR") provides HR services to the Skanska business units within the U.S.A., including Skanska USA Civil Inc., Skanska USA Building Inc., Skanska USA Commercial Development Inc., and Skanska Infrastructure Development Inc. (collectively "Skanska USA"). As such, Skanska HR is the sole authorized representative of Skanska USA to execute any agreements with search firms, employment agencies, or any employment vendor ("Vendor"). As a condition precedent to any entitlement for payment, a Vendor shall have both (1) the Skanska USA Placement Agreement and (2) an Engagement Job Order executed by an authorized Skanska HR representative. Absent the properly executed documents, Skanska HR shall have no obligation to make payment to the Vendor. Verbal or written communications from any employee of Skanska USA business units shall not be considered binding obligations. All resumes, whether unsolicited or solicited, shall be considered the property of Skanska HR.

Primary LocationUS-DC-District of ColumbiaPrimary Work Location/AssignmentOnsiteSkanska Business UnitSkanska USA CivilEmployee StatusFull TimeSalary LowUSD $68,425.00/Yr.Salary High USD $85,330.00/Yr.Employment Type: FULL_TIME