ZipRecruiter

Log In

2

Entry Level Machine Learning Jobs in Reston, VA (NOW HIRING)

QinetiQ US

Systems Finance Coordinator

Lorton, VA · On-site

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... This entry-level role performs routine system maintenance tasks, assists with user account ...

QinetiQ US

Systems Finance Coordinator

Lorton, VA

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... This entry-level role performs routine system maintenance tasks, assists with user account ...

QinetiQ US

Systems Finance Coordinator

Lorton, VA

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... This entry-level role performs routine system maintenance tasks, assists with user account ...

QinetiQ US

Systems Finance Coordinator

Lorton, VA

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... This entry-level role performs routine system maintenance tasks, assists with user account ...

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 ...

Farmers Restaurant Group

Dishwasher - Tysons

Tysons, 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 ...

next page

Showing results 1-20

All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Reston, VA

Entry Level Machine Learning information

See Reston, VA salary details

$12

$18

$22

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

As of Jun 18, 2026, the average hourly pay for entry level machine learning in Reston, VA is $18.17, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $19.76 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 $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in deep learning, data science, and proficiency with tools like TensorFlow or PyTorch, along with leadership responsibilities and sometimes equity or bonuses. Such salaries are rare and generally reflect seniority, expertise, and the strategic importance of AI initiatives within organizations.

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 skills in data analysis, programming, and understanding complex algorithms. Jobs that involve creative thinking, emotional intelligence, or physical tasks, such as data scientists, AI specialists, and software engineers, are expected to remain in demand despite AI advancements.

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 engineers make $500,000?

Senior engineers in fields like software, electrical, or aerospace engineering can reach or exceed $500,000 annually, especially with experience, specialized skills, and leadership roles. High-paying positions often require advanced expertise, certifications, and work in competitive industries or companies with lucrative compensation packages.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Reston, VA? The most popular types of Machine Learning jobs in Reston, VA are:
What job categories do people searching Entry Level Machine Learning jobs in Reston, VA look for? The top searched job categories for Entry Level Machine Learning jobs in Reston, VA are:
What cities near Reston, VA are hiring for Entry Level Machine Learning jobs? Cities near Reston, VA with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Software Engineer (Multiple Levels)

Software Engineer (Multiple Levels)

Altamira Technologies Corp.

Washington, DC • On-site

Full-time

Posted 18 days ago

Job description

Software Engineer
Altamira Technologies has a long and successful history of providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence, and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data, and security. Altamira believes that our people and company culture differentiates us from other companies.
We focus on recruiting talented, self-motivated employees who strive to get things done. Join our team of experts as we engineer national security!
Position Description: We are seeking multiple Software Engineers with a mix of experience talent in areas related to cloud-native full-stack development. As part of our team, you will provide software and web development services in support of our customer in Dayton, OH. We are seeking a diverse group of candidates that meet many of the desired skillsets below. Our ideal candidate would possess a broad range of skills as our scope of work spans various technologies, including JavaScript, Python, React, Angular, and others. Altamira Technologies Corporation encourages independent problem-solving and provides deep reach-back support and a collaborative environment for our engineering team. We are looking for candidates who have experience with developing and are not afraid to adapt to the right architecture, languages, and libraries to build the best systems for the mission and deliver the best user experience.
Location: Dayton OH
Role and Responsibilities
  • Produce software based on desired functionality provided by users and analysts
  • Interpret mission needs and requirements to produce user-friendly software systems
  • Leverage continuous integration to create sustainable and maintainable software
  • Interact with teammates and users through whiteboard sessions and/or design documents to establish circular feedback
Education and Experience
  • Bachelor's in Computer Science, Computer Engineering, or a related field is required
  • Experience in multiple of the following: Java, Python, Go, Rust, JavaScript, TypeScript, Angular, VueJs, NodeJS, OpenAPI, ArangoDB, Valkey, PostgreSQL, MinIO, Istio ServiceMesh, Redis, Knative, Kubernetes, Helm, Terraform, OpenContainer Initiative, OTEL, and/or Kafka is desired.
  • Additionally, experience with Artificial Intelligence/Machine Learning technologies, such as Tensorflow, PyTorch, LangChain, vLLM, PyTorch Lightning, SK Learn, LibreChat, Streamlit, KubeFlow, MLFlow, Bedrock, Fast API, Tune, Ray Train, Safe Tensors, and/or ONNX is highly desired
  • Kubernetes Certified Application Developer (CKAD) and Certified Kubernetes Administrator (CKA) certifications are highly desired
  • Entry level through Senior level positions available
Abilities and Competencies
  • Ability to obtain a TS/SCI clearance
  • Self-motivated and eager to work intently to satisfy mission requirements
  • Adaptable and has the desire to maintain our company culture
  • Ability to effectively communicate in verbal and written communications
  • Ability to multitask and adjust priorities as needed
Employment Type: Full Time

Apply