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.
This role builds Machine Learning tools to enable reduction of the engineering workforce’s burden by developing internal ML-based tools across the organisation. This person will develop, research, and deploy ML algorithms across different engineering disciplines with focus towards engineering simulation related tools and building surrogate model libraries.
Conduct systematic data audits of existing simulation data including schema assessment, volume, cleanliness, and gaps; define supplementary data generation requirements
Build and maintain data pipelines for model training, validation, and continuous retraining
Build multi-domain model pipelines that chain individual surrogate models without manual handoff
Develop training pipelines, architecture, and prototyping for ML 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
RequirementsRequired Qualifications
3+ years ML engineering with a focus on deep learning for scientific or engineering applications
Experience training regression/emulation models on physics or simulation data (surrogate modelling or reduced order modelling)
Strong ML stack: PyTorch or TensorFlow, Pandas, NumPy, SciPy
Surrogate modeling via Neural Networks or Gaussian Processes for use as fast-running model proxies.
Proven understanding of fundamental data structures and the ability to apply them to solve complex problems.
Development experience with retrieval pipeline skills and relational databases
Understanding and deployment of Reinforcement Learning based tools
Understanding of mathematics, particularly linear algebra and probability theory
Experience with physics-informed neural networks (PiNNs) or hybrid physics-ML models
Experience with multi-fidelity modelling or chained model pipelines
Modeling complex multi-physics systems of ODEs and DAEs
Gradient-based optimization
Automatic differentiation tools and development
Skills Required
- 3+ years of machine learning engineering experience focused on deep learning for scientific or engineering applications
- Experience training regression or emulation models on physics or simulation data, including surrogate or reduced-order modeling
- Proficiency with PyTorch or TensorFlow, Pandas, NumPy, and SciPy
- Experience with surrogate modeling using neural networks or Gaussian Processes
- Understanding of fundamental data structures and their application to complex problems
- Development experience with retrieval pipelines and relational databases
- Understanding and deployment of reinforcement-learning-based tools
- Understanding of linear algebra and probability theory
- Experience with physics-informed neural networks or hybrid physics-ML models
- Experience with multi-fidelity modeling or chained model pipelines
- Experience modeling complex multiphysics systems using ODEs and DAEs
- Experience with gradient-based optimization
- Experience with automatic differentiation tools and development
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.
