Machine Learning Engineer
Core
Building AI simulation tools for autonomous vehicle testing, including virtual test drives, synthetic data generation, and reinforcement learning pipelines.
Role type
Machine Learning Engineer (AI Simulation)
Builds
AI simulation environment for autonomous vehicle testing
Domain
Autonomous driving / Robotics / Computer Vision
Deliverable
production ML models
Required skills
Python, PyTorch, deep learning fundamentals, distributed training, CUDA, computer vision (segmentation/detection), Linux/bash scripting
Preferred skills
TensorFlow, MXNet, neural rendering, neural animation, scene/object reconstruction, academic literature implementation
Technologies
PyTorch, TensorFlow, MXNet, CUDA, NumPy, SciPy, Matplotlib, Scikit-learn, Jupyter, Bash
Responsibilities
Build tools for virtual test drives, test code changes for regressive behavior, generate synthetic datasets and RL pipelines, develop neural rendering/animation/reconstruction features
Seniority
Mid-Senior, hands-on IC
