Discover the latest entry level machine learning jobs from companies hiring across the globe. This page features curated opportunities for aspiring ML professionals looking to start their career in artificial intelligence and machine learning.
Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges.
Dark Wolf is seeking a Junior / Entry-Level AI Software Engineer to support the construction, testing, and deployment of artificial intelligence and machine learning pipelines in secure, high-assurance environments. In this role, you will work alongside senior technical leads to maintain data processing workflows, implement foundational software code, and assist in containerizing software components
Key Responsibilities
• Assist with building and maintaining scalable ML data ingestion pipelines.
• Support code development and scripting using Python and Bash.
• Containerize application modules using Docker for deployment.
• Perform regular unit testing and execute automated security scanning tools to ensure code health and compliance.
• Participate in daily Agile activities, code reviews, and backlog refinement sessions.
Required Qualifications:
• Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.
• Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master's degree preferred).
• Experience: 0-4+ years of software engineering experience.
Technical Competencies:
• AI Frameworks: Basic familiarity with PyTorch or TensorFlow.
• AI Models: Basic understanding of model evaluation techniques and foundational prompt engineering.
• Machine Learning: Core understanding of supervised/unsupervised learning concepts and feature engineering.
• Programming & Scripting: Practical competency in Python and fundamental scripting tools.
• Containerization: Experience building and running basic Docker images.
• Agile Frameworks: Working knowledge of Agile, Scrum, or Kanban concepts.
• Multi-Cloud Architecture: Basic familiarity with cloud platforms such as AWS or Azure.
• Security Scanning Tooling: Hands-on exposure to static code analysis and security scanning tools (e.g., SonarQube).
Desired Qualifications:
• Experience writing automated unit tests and maintaining code repositories.
• Cloud or technical entry certifications (e.g., AWS Certified Cloud Practitioner).
Position Clearance Requirement:
US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph
Location: Chantilly/Herndon, VA.
Target Salary Range: $90,000.00 - $130,000.00 (Commensurate with specialized expertise and technical skillset).
Equal Opportunity Employer:
We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire.
We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.
Entry Level Machine Learning Jobs: At a Glance
Insights drawn from the latest openings on this page so you can compare employers, locations, and pay before applying.
Top Companies Hiring
SynergisticIT6 roles
BuddoBot Inc.1 role
Centennial Technologies Inc.1 role
General Motors1 role
Jobright.ai1 role
Top Locations
New York, US3 roles
Virginia, US2 roles
Maryland, US1 role
Pennsylvania, US1 role
California, US1 role
Missouri, US1 role
Most listings on this page are on-site or hybrid.
Salary Range Overview
Across 10 listings, advertised pay ranges from USD 93k to USD 154k.
Typical band: USD 94k – 147k.
Figures reflect employer-disclosed salaries on current openings and may vary by location, experience, and company stage.
Employment Types
Full-Time10 roles
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Discover the latest entry level machine learning jobs from companies hiring across the globe. This page features curated opportunities for aspiring ML professionals looking to start their career in artificial intelligence and machine learning.
Entry Level Machine Learning roles include junior ML engineers, associate data scientists, ML research assistants, and AI engineering interns. These positions offer hands-on experience with supervised and unsupervised learning, deep learning frameworks (TensorFlow, PyTorch), data preprocessing, feature engineering, and model evaluation. Employers seek candidates with strong foundations in Python, linear algebra, statistics, and familiarity with ML libraries like scikit-learn, pandas, and NumPy.
These roles are available at AI startups, technology companies, research labs, and enterprises adopting machine learning across healthcare, fintech, e-commerce, and autonomous systems. Candidates with relevant coursework, Kaggle competition experience, or personal ML projects are strongly preferred.
Our curated listings include remote, hybrid, and onsite positions across global markets. Many entry-level roles offer mentorship programs, learning budgets, and clear advancement paths into senior ML engineering or research positions.
Each job posting provides detailed requirements, technical skills needed, and application instructions to help you land your first machine learning role.
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