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Entry Level Machine Learning Jobs in Damascus, MD

HUB LABELS INC

General Machine Operator

Hagerstown, MD

$17 - $19/hr

... entry-level production role is designed for individuals interested in building a career in label manufacturing and machine operation. The position supports daily production activities while learning ...

Founding Farmers

Dishwasher - Reston Station

Reston, VA · On-site

$15 - $17/hr

An entry-level position in our kitchen, these essential team members are part of our growing ... Keep the dishwashing machine clean and report any functional or mechanical problems * Monitor ...

Hertz

Tire and Lube Technician

Dulles, VA · On-site

$20.25/hr

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 ...

The Hertz Corporation

Tire and Lube Technician

Dulles, VA · On-site

$20.25/hr

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 ...

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All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Damascus, MD

Entry Level Machine Learning information

See Damascus, MD salary details

$12

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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 Damascus, MD is $18.48, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $20.10 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.
More about Entry Level Machine Learning jobs
What cities near Damascus, MD are hiring for Entry Level Machine Learning jobs? Cities near Damascus, MD with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Damascus, MD as of July 2026, with employment types broken down into 1% Locum Tenens, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $38,430 per year, or $18.5 per hour.

Entry level_New graduates (Computer Science/CIS)

Dev Talent Network

Reston, VA • On-site

Full-time

Re-posted 19 days ago

Job description

Dev's Talent Network is designed to create a network of talented applicants who are interested in working for Dev Technology and are waiting for a job opening that matches their skills and experience. Here you will find positions we are "always recruiting" as well as an opportunity to share your resume with Dev, even if the job position you seek is not listed here today.
The Dev Talent Network is a community of highly qualified technical and management professionals recognized by Dev to demonstrate strong alignment with our company culture. The Dev Talent Network is comprised of candidates, referrals, Dev alumni, and fellow colleagues with whom we have worked in the past.
We're excited to evolve the Dev Talent Network so our members stay connected with Dev and discover new career opportunities with us.
Dev Technology Group frequently hires new graduates for our entry level opportunities. Dev Technology is a great place to launch your career with a variety of programs that support our new hires and growth that include our mentorship programs, Denizens, Dev University and more. We hire entry level talent in the following IT service areas: Application Development (Full Stack), QA/Testers, Business Analysts, and AI/Data Science.
Required Education, Experience, and Skills:
  • Bachelors degree in Computer Science, CIS, AI, Data Science or similar program of study
  • Demonstrated a strong interest in software development or related technical areas through past employment or academic/personal projects (e.g. GitHub portfolio, etc.) and software development concepts ad best practices for Developer and Business Analyst Opportunities
    • OR Knowledge of machine learning and data science approaches and applications for Data Science and AI Opportunities
  • Ability to obtain a U.S. government clearance as required
  • Previous internship experience learning skills applicable to Dev Technology's service areas
  • A desire to serve government clients and support their missions
  • Ability to quickly absorb and learn application functionality well enough to explain it to someone else
  • Understanding of application technology stacks and how they function together
  • Demonstrated ability to communicate clearly and concisely both verbally and in writing
  • Excellent diplomacy and communication skills with both clients and technical staff
  • Excels working as part of a team
  • Openness to continuous learning and receiving constructive feedback in order to improve
  • Familiarity with agile development methodologies including Scrum, Kanban, or Lean practices preferred

***By submitting your information you agree our talent recruitment team may use your contact information to reach out to you regarding new opportunities that may be applicable to your experience.

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