Al/Machine Learning Internship

At SoarTech, we recognize that Artificial Intelligence (AI) is an essential force-multiplier for humans. Since our founding in 1998, our core mission has been to solve the most sophisticated problems faced by the military by supporting our warfighters with advanced AI solutions. Our technologies are developed to learn and adapt to new data and situations effectively and efficiently. We combine leading experts in research and engineering to develop unique, impactful solutions that save time, money, and lives. SoarTech is growing and we are looking for individuals interested in helping research, develop, and implement AI technology. 

Job Description

We are hiring for internship positions as Artificial Intelligence/Machine Learning engineers that will help develop AI technologies that adapt and scale to solve sophisticated problems across a variety of problem domains. AI Engineers embrace and represent the SoarTech Core Values (Innovative, Honest, Customer Focused, Respectful, Integrity and People) in all aspects of their duties and responsibilities. 

Duties and Responsibilities

• Implement algorithms, knowledge bases, complex logic, and other AI technologies into new and existing systems. 
• Build and maintain efficient, reusable, and reliable code. 
• Design, document, implement, debug, and test software. 
• Create plans and estimates for building software features that satisfy requirements. 
• Understand software system specifications and recommend improvements, this includes understanding the implications of system-level decisions and how to mitigate and leverage them. 
• Support activities to secure systems against cybersecurity threats. 
• Participate in integrated test sessions with industry partners, academia, and customers/sponsors. 
• Support project vision and milestone development as well as team initiatives to accomplish them. 
• Produces documentation on software design, system design, and testing. 
• Collaborate with other engineers, project leads, and program manager to accomplish project goals. 
• Perform other duties as assigned. 

Required Skills and Experience

• Bachelor’s Degree or in progress degree in engineering, computer science, mathematics, physics, or a related discipline. 
• A general understanding of machine learning algorithms including deep learning, neural network design, deep reinforcement learning, large language models (LLMs), and computer vision. 
• A passion for working with Artificial Intelligence. 
• Ability to analyze and solve challenging technical problems. 
• Experience designing and debugging complex machine learning systems. 
• Excellent written and verbal communication skills. 
• Ability to travel to support technical presentations, testing, and integration.  
• Ability to obtain a U.S. Department of Defense (DOD) Security Clearance. 

Preferred Skills (Not Required)

• An advanced degree in engineering, computer science, mathematics, physics, or a related discipline. 
• Experience with software development in a similar scope, program, and/or environment. 
• Knowledge or experience in any of the following technology areas: 
• • Robotic control theory with implementation experience, especially in ROS.
  • Deploying ML models with Kubernetes. 
  • Common machine learning frameworks such as PyTorch, TensorFlow, or Jax. 
  • LLM frameworks such as HuggingFace
  • LLM inference servers (TGI, vLLM, etc). 
  • Transformer-based autoregressive NLP techniques (Modern BERT, etc.) 
  • Solving reasoning problems with LLMs (chain/tree of thought reasoning, integration of external planners, etc.) 
  • Multi-modal LLMs (vision, audio, and other non-textual input.) 
  • Multi-agent, swarming and complex adaptive systems. 
  • Sensor and data fusion. 
  • Simulation and game development. 
• Experience with additional programming languages, such as C++, C#, SQL, and JavaScript. 
• Experience with DevOps and CI/CD processes. 
• Experience using task tracking and project management software, such as GitLab or Jira. 
• Experience supporting development projects for defense or aerospace technology platforms. 
• An active Department of Defense (DoD) Security Clearance. 

Physical Requirements

• This position typically requires working in a lab or office setting with some exposure to manufacturing and testing environments. The role may involve handling hardware components and using specialized equipment.  
• Prolonged periods sitting at a desk and working on a computer. 
• Must be able to lift up to 15 pounds at times. 

Clearance Requirements:

Some positions will require access to U.S. National Security information.  Positions that require this access will be required to receive and maintain a National Security personnel clearance (PCL).  To qualify for this position, the candidate must be a US Citizen and either currently possess this National Security clearance eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the National Security clearance process please access this link.

EEOC & Know Your Rights:

Accelint companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs. For more information about your rights, please review the "Know Your Rights" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish

ADA:

In compliance with the Americans with Disabilities Act (ADA), if you have a disability and would like to request an accommodation within the application and selection process, please contact [email protected].

E-Verify:

Accelint companies utilize E-Verify to confirm employment eligibility to work in the United States. Verification occurs after the employee has been hired and completes the Form I-9.