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Entry Level Machine Learning Jobs in Silver Spring, MD

Entry-Level Manager Trainee

MD · On-site

$45K - $50K/yr

Manager Trainees must complete the learning plan and course of study as outlined within the ... You may also work around machinery and airborne particles. Responsibilities * Payroll, Invoicing ...

Full Stack Software Engineer (Entry level - Senior Levels) Locations: Arlington, VA and areas ... machine learning capabilities * Be a part of a team that is making an impact and HAVE FUN while ...

Full Stack Software Engineer (Entry level - Senior Levels) Locations: Arlington, VA and areas ... machine learning capabilities * Be a part of a team that is making an impact and HAVE FUN while ...

Career Growth with hands on learning Educational Background: * High School Diploma or equivalent ... Ability to use shop equipment such as lifts, tire changing equipment, alignment machines, and scan ...

... 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 ...

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Entry Level Machine Learning information

See Silver Spring, MD salary details

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

As of Jul 15, 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 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 a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and specialized knowledge. These positions usually involve leadership, strategic planning, and the development of complex AI systems, and they tend to be found in large tech companies or specialized AI firms.

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 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.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized knowledge in data analysis, programming, and domain expertise that AI tools currently cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and AI system trainers, are also expected to remain in demand. Developing skills in programming languages like Python and understanding of algorithms will enhance job security in this field.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

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 jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically do not pay $4000 a week without advanced skills or certifications. High-paying tech jobs often require specialized knowledge, experience, or degrees, but some freelance data scientists or AI consultants with strong portfolios can reach high earnings through project-based work. Most roles at this pay level generally demand experience or advanced training beyond entry-level positions.
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 are popular job titles related to Entry Level Machine Learning jobs in Silver Spring, MD? For Entry Level Machine Learning jobs in Silver Spring, MD, the most frequently searched job titles 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:
Infographic showing various Entry Level Machine Learning job openings in Silver Spring, MD as of July 2026, with employment types broken down into 1% Locum Tenens, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution, with an average salary of $37,554 per year, or $18.1 per hour.
Jr. Electromagnetic Fields Analyst

Jr. Electromagnetic Fields Analyst

Advanced Technology and Research Corporation

Bethesda, MD • On-site

$86K - $101K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 20 days ago


Job description

Jr. Electromagnetic Fields Analyst
Location: Bethesda, MD Type: Full Time Min. Experience: Entry Level: Salary Range: $86,000-$101,000 USD per year
Advanced Technology & Research Corporation (www.atrcorp.com) is seeking to fill the following full-time permanent position. Based in Maryland and incorporated in 1973, ATR is an equal-opportunity engineering company with a solid reputation in various engineering disciplines for the government and Fortune 500 commercial customers.
Salary for the position is competitive according to qualifications. ATR offers an attractive comprehensive benefits package, including Medical/Dental insurances, free basic life/ADD, and long-term and short-term disability insurances, 401(k) plan, educational assistance program, and paid time off. 
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, disability or veteran status.
PRINCIPAL DUTIES & RESPONSIBILITIES:
The successful applicant will join ATR's Engineering Services Division, working as a team member at our government client site, located at the Naval Surface Warfare Center, Carderock, MD, involved in development and execution of the US Navy’s Undersea Warfare Influence Signatures programs. The applicant shall work on site with the Signature Analysis Engineering team.
Other duties include, but not limited to:
  • Signature data analysis, computer simulation, and analytical modeling such as Boundary Element or Finite Element modeling and analysis.
  • US Navy Submarines, Surface Ships, Small crafts & unmanned systems measurements and silencing
  • Conducts measurements and analysis of systems measured in laboratory and field sites
  • Documents results and determines threat assessments

The applicant will participate and contribute to the team in developing project plans, test and analysis plans, and for writing and briefing research progress and results to upper management and sponsors
EDUCATION & EXPERIENCE REQUIREMENTS:
  • Degree in Electrical Engineering or Physics
  • Job experience with the Navy or other DoD laboratories is a plus
SKILLS & ABILITIES REQUIREMENTS:
The successful candidate must have ability to apply scientific methodology to engineering problems, and must be a self-starter and willing to learn. Applicants shall have a high level of technical/intellectual curiosity and the ability to work independently with minimal direction, including but not limited to:
  • Understanding and application of technical theories and concepts of electromagnetics
  • Ability to perform engineering design, analysis and support test and evaluation
  • Proficient in using a variety of programming languages and styles: including graphical oriented MATLAB and object oriented (C, C++, Java, Python)
  • Experience with both analog and digital signal processing techniques
  • Experience with control theory, machine learning, and system integration, modeling, and testing
  • Microsoft Office suite (Word, Excel/pivot tables)
  • Some minimal travel required
  • Strong professional written and verbal communication abilities  

OTHER REQUIREMENTS:
Candidate must be a US citizen with the ability to obtain and maintain a security clearance or favorable adjudication of a national security background investigation. Current successful background investigation completion is a plus.
Qualified Candidates should send their resume to hr.admin@atrcorp.com
 

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