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Entry Level Machine Learning Jobs in Bethesda, MD

Black Cape

Full Stack Software Engineer

Arlington, VA · On-site

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 ...

Black Cape

Full Stack Software Engineer

Arlington, VA · On-site

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 ...

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 ...

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

Entry Level Machine Learning information

See Bethesda, MD salary details

$13

$18

$23

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 Bethesda, MD is $18.69, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $20.34 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 are the most commonly searched types of Machine Learning jobs in Bethesda, MD? The most popular types of Machine Learning jobs in Bethesda, MD are:
What job categories do people searching Entry Level Machine Learning jobs in Bethesda, MD look for? The top searched job categories for Entry Level Machine Learning jobs in Bethesda, MD are:
What cities near Bethesda, MD are hiring for Entry Level Machine Learning jobs? Cities near Bethesda, 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 Bethesda, MD as of July 2026, with employment types broken down into 1% Locum Tenens, 82% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $38,879 per year, or $18.7 per hour.
Operations Specialist I, Aerospace & Defense (US)

Operations Specialist I, Aerospace & Defense (US)

Airspace

Washington, DC

$20 - $22/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 20 days ago

Job description

Company Introduction:

Airspace is a tech-enabled freight forwarder that's redefining how the world's most critical packages are delivered. Headquartered in Carlsbad, California, Airspace has employees who are based around the world. Our European headquarters is in Amsterdam, The Netherlands.

As a recognized leader in AI and machine learning, our team leverages data and patented technology to coordinate logistics across a global network of drivers and airlines. Our goal is to deliver those packages that are truly mission-critical in a way that is faster, more transparent, more secure, and more accountable than ever before. The items we deliver range from organs for transplant, to parts for critical machinery including grounded aircraft and highly sensitive components such as semiconductors.

Airspace has been rated one of America's best Startup Employers, listed as one of CNBC's Disruptor 50 companies, and featured as an Innovation and Disruption leader by CBS News. Airspace has the support of leading investors such as Telstra Ventures, HarbourVest Partners, Defy Partners, DBL Partners, and Scale Ventures. To date the company has raised more than $140m.

The company is growing rapidly and serving more places around the world than ever before. We are looking for passionate, motivated individuals who want to make an IMPACT every day to help us execute on our mission of reshaping the world of time-critical logistics.

Overview

Primary Focus: To set up all new orders containing the most time-sensitive commodities for success, provide proactive updates to customers on any deviations and track order status progression from start to finish. These job requirements were carefully crafted in order to provide you with the basic building blocks of the Airspace Operations team and pave the way for a continued path forward as you grow within this company.

Importance of role

The operations team is the backbone of our company and by working on the front lines you represent, first-hand, everything that we stand for. Not only will you be in direct communication with our customers, commanders and agent service providers, with extreme attention to detail, having the ability to catch something so small can ultimately be the difference maker in being able to save a human life!

Responsibilities

Operating the Airspace Platform

  • Set up new orders by adhering to both standard work practices and client-specific SOP instructions.
  • The ability to rapidly move from one critical task to another.
  • Accurately confirm job milestones are completed correctly and on time.
  • Ability to navigate and interpret Airline booking and tracking websites.
  • Following all process and communication standards within multiple platforms.
  • Ability to stay independently informed by reviewing all communications provided throughout the company platforms.

Proactive Customer Updates

  • Ability to professionally relay delays, issues, and updates with customers through verbal and written communication.
  • With the customer's best interest in mind, always looking ahead (weather conditions, traffic, etc.) and offering an alternative solution in order to meet or beat their required delivery times.
  • Escalate issues early and appropriately.

Intuitive Problem Solving

  • Ability to update, manage, and/or change airway bills using initial or tenured training.
  • Ability to source driver coverage for any segment of an order.
  • Ability to use situational awareness to request or deny additional driver incentives when necessary.
  • Ability to apply training and tenured knowledge to find out of the box solutions to common or uncommon issues.
  • Follow escalation procedures and guidance provided by senior team members to assist in issue resolution.
  • Demonstrate understanding and urgency of milestone updates, delays, QPT/QDT, etc.

Handling All Inbound and Outbound Communications

  • Timely acknowledgment and action of all email, phone and text requests.
  • Expected to consistently meet all minimum metric expectations for phone availability and acceptance.
  • Proper use of the various phone statuses.
  • Adherence to All Hands on Deck and Off-Phones Requests guidelines.
  • Order placement for customers who are unable to place orders via the online portal.
  • Ability to identify and resolve issues surfaced through inbound phone calls, text messages, and email.
  • Cross sector phone call resolution.

Maintaining Balanced Level of Performance

As an OSI, you will be expected to meet minimum metric requirements and customer service standards for an entry level position. Expectations will increase with each advancement. All expectations will be communicated to you through your direct reporting supervisor.

Compensation & Benefits

  • Hourly Range: $20-22/hr
  • High-quality health, vision, and dental care plan options
  • 401K company contribution program
  • Professional learning and training reimbursements
Core Values:
  • We are One Team. We believe we all accomplish more when we are working together.
  • We make an Impact. We are determined to have a positive influence on our environment, our customers, our industry, and our world.
  • We are Passionate. We care deeply about our mission and are not afraid to raise the bar.
  • We are Transparent. We pride ourselves on having open, honest, and sincere communication with our team and customers.
  • We are Innovative. We never settle and are always striving to improve our product, service, and ourselves.
About Airspace:

From life-saving organs to essential machinery components, Airspace is trusted by the world's largest companies and most critical healthcare organizations to move their most time-sensitive shipments on time, every time. Our proprietary AI-powered platform is the most advanced of its kind- awarded and protected by multiple patents, it provides speed, reliability, and transparency unrivaled in time-critical logistics. We are thinkers, builders, and doers; from building and deploying AI in the world to assembling a world-class operations team, Airspace is on a hypergrowth trajectory while remaining hyper-focused on the needs of our customers and team members.

With offices in the United States in Carlsbad, CA and in Europe in Amsterdam, Frankfurt, Stockholm, and London, we are rapidly scaling into new markets and industries while continuing to innovate and maximize value for our customers. Backed by leading investors including Telstra, HarbourVest, Prologis, Qualcomm, Defy, and others, Airspace has raised $140M to date.

Join our team of 300+ technologists, futurists, and industry veterans as we work as One Team to revolutionize time-critical logistics.

Airspace is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Additionally, Airspace participates in the E-Verify program for all locations.

For this role the acquisition of recruitment agencies is not appreciated, thank you for your understanding.