ZipRecruiter

Log In

2

Entry Level Machine Learning Jobs in Silver Spring, MD

Jenni Bick Custom Journals

Be Seen First

ENTRY LEVEL - HOT STAMP TECHNICIAN

Washington, DC · On-site

$18 - $22/hr

You'll spend most of your shift operating a hot stamp machine, working through orders with ... Interest in stationery, leathergoods, or learning a craft. * Works well in a team. * Able to stand ...

Jenni Bick Custom Journals

Be Seen First

ENTRY LEVEL - HOT STAMP TECHNICIAN

Washington, DC · On-site

$18 - $22/hr

You'll spend most of your shift operating a hot stamp machine, working through orders with ... Interest in stationery, leathergoods, or learning a craft. * Works well in a team. * Able to stand ...

7th Avenue

Sales Associate

Tysons Corner, VA

$14.25 - $19.25/hr

... and machine-washable covers, adjustable back cushion firmness, memory foam blend cushions, soft ... This role is perfect for fresh grads and entry-level candidates eager to grow within a fast-paced ...

7th Avenue

Sales Associate

Mclean, VA · On-site

... and machine-washable covers, adjustable back cushion firmness, memory foam blend cushions, soft ... This role is perfect for fresh grads and entry-level candidates eager to grow within a fast-paced ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Silver Spring, MD

Entry Level Machine Learning information

See Silver Spring, MD salary details

$12

$18

$22

How much do entry level machine learning jobs pay per hour?

As of May 31, 2026, the average hourly pay for entry level machine learning in Silver Spring, MD is $18.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $19.62 per hour, depending on experience, location, and employer.

What Are Entry Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Silver Spring, MD? The most popular types of Machine Learning jobs in Silver Spring, MD are:
What job categories do people searching Entry Level Machine Learning jobs in Silver Spring, MD look for? The top searched job categories for Entry Level Machine Learning jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Entry Level Machine Learning jobs? Cities near Silver Spring, MD with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
2026 Graduate - Software Developer - Tactical System Prototyping and Deployment

2026 Graduate - Software Developer - Tactical System Prototyping and Deployment

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Johns Hopkins Applied Physics Laboratory rating

9.9

Company rating: 9.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

1st of 56 rated research

Job description

Description
Do you have an interest in developing software for new warfighter capabilities. Are you passionate about using innovation and technology to solve technical challenges?
If you are graduating with a Bachelor's or Master's degree in Computer Science, Computer Engineering, Mathematics or, Electrical Engineering and want to work as a software developer or software engineer, we'd love to have you join our close-knit prototyping team! We build capabilities that enable warfighters to harness different set of sensors and data sources to accomplish a variety of missions that are important to the defense of our nation.
Our team is committed to working directly with warfighters to craft solutions from concept to operational use. We strive to foster an environment that is highly collaborative and supportive, but also encourages autonomy. Our team values are putting the warfighter and their missions first, accepting that you might not get it right the first time, but being resolved to see it through, and being dedicated to making real impact.
As a Software Development Engineer, you will...
  • Research and develop concepts to solve unaddressed, critical military operational shortfalls as a member of an established team that has fielded numerous highly regarded capabilities. Subject areas differ widely over time, but our current projects focus on improving the exploitation of airborne and ground based sensor data through object tracking, multi-sensor correlation, data management, and operational data display as well as on intelligent networks, resilient autonomy, and non-kinetic warfare integration.
  • Perform system design and software implementation of proof-of-concept prototypes incorporating several engineering fields: software development, signal/video processing, artificial intelligence, real-time computing, applied mathematics, network/web services, and visualization.
  • Support prototype evaluation, experimental operations at military facilities, and transitions of capabilities to government or industry.

Qualifications
You meet our minimum qualifications for the job if you...
  • Have a BS or MS in Computer Science, Computer Engineering, Mathematics, Electrical Engineering, or related field.
  • Completed coursework or internships involving complex software development, particularly in the areas of object oriented programming, database design, signal processing, artificial intelligence, machine learning, data visualization, and user interfaces.
  • Can occasionally travel and work at government and military facilities, including underway on US Navy ships and aircraft requiring work outside of and in excess of normal working hours.
  • Are able to obtain an Interim Secret level security clearance by your start date and ultimately obtain a final Secret level security 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...
  • Knowledge of C++, Java, or Typescript in a Linux/Unix environment.
  • Desire to build computer science/software development expertise to address emerging challenges.
  • Interest and initiative to grow into a leadership position.

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 http://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 Accommodations@jhuapl.edu.
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
$85,000 Annually
Maximum Rate
$165,000 Annually

Apply