Machine Learning Engineer - DL/RL

About The ePlane Company

Chart the Course for the Future of Flight

Roles and Responsibilities

• Build and maintain data pipelines for model training, validation, and continuous retraining
• Develop training pipelines, architecture, and prototyping for ML/RL algorithms
• Work on productising research prototypes
• Conduct experiments to benchmark new techniques and evaluate model behavior
• Develop systematic evaluation methodology: test sets, accuracy metrics, citation quality scoring, false positive/negative analysis
• Deploy AI tools to engineering teams with structured pilots, baseline measurement, and documented adoption outcomes
• Build and operate multi-step agentic workflows connecting engineering data sources for reasoning

Required Qualifications

• 3+ years ML engineering with a focus on deep learning/reinforcement learning
• Strong ML stack: PyTorch or TensorFlow, Pandas, NumPy, SciPy
• Strong programming skills in Python/C++
• Hands on experience implementing Neural network architectures like CNNs, Transformers, RNNs, VAEs,
• Optimization of DL models(Memory, execution time, size) for inference
• Working knowledge of full life cycle and various SDLC methodologies to meet project goals
• Ability to design production ML systems that fail gracefully and whose failure modes are understood and documented
• Reinforcement learning experience: policy training, reward engineering, simulation environment construction

Preferred Qualifications

• Gradient-based optimization
• Automatic differentiation tools and development
• Experience developing ML systems in Safety-critical or regulated domain background where AI output quality must be explainable
• Experience building multi-step agentic workflows
• Familiarity with aerospace change management processes