The ePlane Company is at the forefront of India's urban air mobility revolution. Incubated at IIT Madras, we are a deep-tech startup dedicated to designing and building the world's most compact electric flying taxi. Our mission is to make door-to-door flying a reality, drastically reducing commute times and decongesting our cities for a cleaner, greener future. We're a passionate team of engineers, designers, and visionaries working on cutting-edge technology, and we're looking for brilliant minds to help us take flight.
We are looking for a person with a deep understanding of Machine Learning and Reinforcement learning to develop tools that help us an organisation engineer better systems and also build the platform software that will allow the next generation of mobility to thrive. This person will develop, research, and deploy ML algorithms across different engineering disciplines and build tools for routing, scheduling future mobility transportation networks involving hundreds of aircraft in shared regions.
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
RequirementsRequired 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
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
Skills Required
- 3+ years of machine learning engineering experience focused on deep learning or reinforcement learning
- Experience with PyTorch or TensorFlow, Pandas, NumPy, and SciPy
- Strong programming skills in Python or C++
- Hands-on experience implementing CNN, Transformer, RNN, and VAE neural network architectures
- Experience optimizing deep learning models for memory, execution time, and size during inference
- Working knowledge of the full software development life cycle and SDLC methodologies
- Ability to design production ML systems with understood, documented, and graceful failure modes
- Experience with reinforcement learning policy training, reward engineering, and simulation environment construction
- Knowledge of gradient-based optimization
- Experience with automatic differentiation tools and development
- Experience developing ML systems in safety-critical or regulated domains where AI output quality must be explainable
- Experience building multi-step agentic workflows
- Familiarity with aerospace change management processes
What We Do
We're developing India’s 1st flying electric taxi for up to 10x faster intra-city commute and cargo transport. Incubated at IIT Madras, Chennai since 2019, The ePlane Company was founded by Professor Satya Chakravarthy with a vision to make flying ubiquitous. As an Urban Air Mobility (UAM) startup, we aim to alleviate on-road traffic congestion in cities worldwide by offering safe, sustainable and affordable flying experiences through our flagship product, The ePlane e200.
