Junior Machine Learning Engineer

About This Role

Who We Are:  

• CAE Vision: Our vision is to be the worldwide partner of choice in defense and security, and civil aviation by revolutionizing our customers’ training and critical operations with digitally immersive solutions to elevate safety, efficiency and readiness.  

• CAE Defense & Security Mission: CAE's Defense and Security business unit focuses on helping prepare military customers to develop and maintain the highest levels of mission readiness.  

• CAE Values: Empowerment, Innovation, Excellence, Integrity and OneCAE make us who we are and we strive to make a difference in the world while helping each other succeed.  

What We Have to Offer:  

• Comprehensive and competitive benefits package and flexibility that promotes work-life balance  

• A work environment where all employees are valued, respected and safe  

• Freedom to succeed by enabling team members to deliver, take initiatives and make decisions  

• Recognition, professional development, advancement and having fun!  

Summary   

We are seeking a skilled Machine Learning Engineer to join our growing AI & Data Science team in R&D. This role is ideal for someone passionate about solving complex problems using data-driven approaches and deploying scalable machine learning solutions in production environments. Additionally, this role will focus on designing scalable NLP systems powered by state-of-the-art transformer models, optimizing inference performance, and integrating LLMs into real-world products. You’ll collaborate with cross-functional teams to deliver intelligent, language-driven solutions that enhance user experience and business outcomes.  This position is onsite with locations in Tampa FL, Arlington TX, or Orlando FL. 

Essential Duties and Responsibilities 

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

• Assist in the development and testing of machine learning models for real-world applications under the guidance of senior engineers. 

• Support the creation and maintenance of data pipelines and model training workflows using modern tools and frameworks. 

• Participate in model evaluation and validation, helping to analyze performance metrics and suggest improvements. 

• Help monitor deployed models and contribute to maintaining their reliability and accuracy. 

• Contribute to the fine-tuning and deployment of large language models (LLMs) for tasks such as summarization, question answering, and chatbots. 

• Learn and apply tools like ONNX, TensorRT, or vLLM to support efficient model serving. 

• Assist in implementing retrieval-augmented generation (RAG) pipelines using vector databases (e.g., FAISS, Pinecone). 

• Collaborate with team members to optimize model inference for performance and cost. 

• Work closely with cross-functional teams to understand project requirements and contribute to ML solutions. 

• Stay informed about emerging trends and technologies in machine learning and AI. 

• Document work, including model development and evaluation processes, for reproducibility and team knowledge sharing. 

Qualifications and Education Requirements 

• Bachelor’s degree in Computer Science, Machine Learning, or a related field. Master’s degree is a plus. 

• 0–2 years of experience in software d