Senior Machine Learning Engineer Security Clearance

Senior Machine Learning Engineer with Security Clearance

3 weeks ago – Be among the first 25 applicants.

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.

• Design, develop, and deploy machine learning models for real‑world applications.
• Build scalable data pipelines and model training workflows using modern tools and frameworks.
• Conduct rigorous model evaluation, validation, and performance tuning.
• Monitor and maintain deployed models, ensuring reliability and accuracy over time.
• Design, fine‑tune, and deploy LLMs (e.g., LLaMA, Mistral) for various NLP tasks such as summarization, question answering, semantic search, and chatbots.
• Develop scalable and efficient model serving infrastructure using tools like ONNX, Tensor
  
  RT, Deep Speed, or vLLM.
• Implement retrieval‑augmented generation (RAG) pipelines using vector databases (e.g., FAISS, Weaviate, Pinecone, Milvus).
• Optimize LLM inference for latency, throughput, and cost across cloud and edge environments.
• Collaborate with cross‑functional teams to understand business requirements and translate them into ML solutions.
• Stay current with the latest research and trends in machine learning, AI & LLMs.
• Mentor junior engineers and contribute to team knowledge sharing.
• Document processes, models, and decisions for transparency and reproducibility.

• Excellent (≥5 years) software development experience; at least 2 years focused on NLP or LLMs.
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field (PhD is a plus).
• Proficiency in ML frameworks (PyTorch, Tensor Flow, Scikit‑learn, CUDA).
• Strong understanding of distributed systems, microservices architecture, and REST APIs.
• Experience with MLOps tools and practices (MLflow, Airflow, DVC).
• Hands‑on experience with Hugging Face Transformers, Lang Chain, and OpenAI APIs.
• Proficiency with cloud platforms (AWS, GCP, Azure), Linux, and container orchestration (Docker, Kubernetes).
• Proven track record of deploying ML models in production environments.
• Experience with SQL/No
  
  SQL databases such as MySQL, Mongo
  
  DB, or Elasticsearch.
• Only U.S. citizens are eligible due to U.S. Government contract requirements.

• Experience with deep learning, NLP, computer vision, or reinforcement learning.
• Feature engineering and model interpretability techniques.
• Prompt engineering and optimization strategies.
• Multi‑modal models (text with image or audio inputs).
• Distributed training and model parallelism.
• Fine‑tuning LLMs using LoRA, QLoRA, or PEFT techniques.
• Familiarity with CI/CD pipelines and version control (Git).
• Ability to work in a fast‑paced, agile development environment.

• Must comply with all company security and data protection / usage policies and procedures.
• Personally responsible for proper marking and handling of all information and materials in any form.
• Shall not divulge any information or grant access to other employees without a need‑to‑know or management approval.
• All government and proprietary information will be accessed and stored electronically on company‑provided resources.
• Incumbent must be eligible for DoD Personal Security Clearance.

• Duties performed in an office environment and manufacturing facility.
• May be required to work overtime on and off‑shifts as required.
• May have to sit for long periods and climb stairs.

CAE USA Inc. is an equal opportunity employer; all qualified applicants will be considered for employment without regard to any protected characteristic, including disability and protected veteran status, as defined under federal, state, or local laws. Applicants needing reasonable accommodations should contact the recruiter at any point in the recruitment process.

Mid‑Senior level

Full‑time

Engineering and Information Technology

Defense & Space