Machine Learning Engineer

Job Description

We are seeking mid-level Artificial Intelligence engineers who 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. 
• Ensure that systems are safe and secure against cybersecurity threats. 
• Participate in integrated test sessions with industry partners, academia, and customers/sponsors. 
• Contribute to project vision and milestone development. Identifies tasks and supports 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

• Three (3) years of software programming experience in a similar scope, program, and/or environment. 
• Bachelor’s Degree in engineering, computer science, mathematics, physics, or a related discipline. 
• Experience and high proficiency at designing and implementing software components in Python, Java, and/or C++. 
• 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. 
• Experience using task tracking and project management software, such as GitLab or Jira. 
• 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. 
• Knowledge or experience in any of the following technology areas: 
• • Deploying ML models with Kubernetes. 
  • Common machine learning frameworks such as PyTorch, TensorFlow, or Jax. 
  • LLM frameworks such as HuggingFace, including retrieval-augmented (LangChain, Llama-Index) optimizing / agentic LLM stacks (DSPy, Smolagents, etc), and parameter-efficient fine-tuning (LoRA, Q-LoRA). 
  • 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.) 
  • Frameworks for reproducible experiments and parameter sweeps (MLflow, Weights & Baises, etc) 
  • 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 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 U.S. government personnel security clearance (PCL).  In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security 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 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 careers@accelint.com. 

E-Verify: 

Accelint companies utilizes 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. 

Pay Scales & Benefits:

The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors. 

Benefits include… 

• Paid Time Off 

• Paid Company Holidays 

• Medical, Dental & Vision Insurance 

• Optional HSA and FSA 

• Base and Voluntary Life Insurance 

• Short Term & Long-Term Disability Insurance 

• 401k Matching 

• Employee Assistance Program