CAE · 1 week ago
Junior Machine Learning Engineer
Tampa
Full-time
Onsite
New Grad, Entry Level
0+ years expCAE is a worldwide partner in defense, security, and civil aviation, focused on revolutionizing training and critical operations. They are seeking a Junior Machine Learning Engineer to join their AI & Data Science team, where the role involves developing and deploying machine learning solutions and collaborating with cross-functional teams to enhance user experience and business outcomes.
AerospaceEnterprise SoftwareInformation TechnologySecuritySimulationTechnical Support
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
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
Qualification
Required
Bachelor's degree in Computer Science, Machine Learning, or a related field
0–2 years of experience in software development or machine learning projects (internships or academic projects count)
Familiarity with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
Basic understanding of REST APIs and microservice architecture
Exposure to MLOps tools and practices (e.g., MLflow, Airflow) is a plus
Experience with Hugging Face Transformers, LangChain, or OpenAI APIs is beneficial but not required
Comfortable working with cloud platforms (AWS, GCP, or Azure), Linux, and container tools like Docker
Experience with SQL/NoSQL databases such as MySQL or MongoDB is a plus
Due to U.S. Government contract requirements, only U.S. citizens are eligible for this role
Must comply with all company security and data protection / usage policies and procedures
Incumbent must be eligible for DoD Personal Security Clearance
Preferred
Exposure to deep learning, NLP, or computer vision through coursework or projects
Interest in feature engineering and model interpretability
Basic understanding of prompt engineering and optimization
Familiarity with multi-modal models and distributed training concepts is a plus
Experience with Git and CI/CD pipelines is helpful
Ability to learn quickly and work in a collaborative, agile development environment
Benefits
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!
Company
CAE
CAE provides simulation and modeling technologies and integrated training solutions for the civil aviation industry.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$1.46BKey Investors
La CaisseFonds de solidarité FTQ
2023-06-08Post Ipo Debt· $400M
2021-11-05Post Ipo Debt· $70M
2021-03-12Post Ipo Equity· $287M
Leadership Team
Matthew Bromberg
President and Chief Executive Officer
Sonya Branco
VP Finance and Chief Financial Officer
Recent News
2026-01-09
2026-01-06
Company data provided by crunchbase