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Machine Learning Engineer Intern - Scenario Simulation
- United States
- United States
Über
Responsibilities:
Bridge the Sim-to-Real Gap: Develop and implement a translation layer that converts idealized simulator Ground Truth (GT) into realistic, "noisy" Bird's-Eye View (BEV) embeddings.
Optimize Simulation Throughput: Research and implement a "shortcut" pipeline that bypasses slow image/LiDAR rendering to generate BEV features directly from state data.
Enable Closed-Loop Training: Integrate the translated BEV embeddings into a training pipeline to make synthetic data directly usable for planning models.
Support Reinforcement Learning: Create the infrastructure necessary for planning models to undergo self-play RL fine-tuning within the bridged BEV feature space.
Required Skills:
Strong foundation in deep learning, computer vision, and machine learning. Proficiency in Python and deep learning frameworks (PyTorch) Prior experience with BEV / E2E Autonomous Driving Architectures (understanding of BEV generation, sensor fusion, spatial transformation). Prior experience in addressing the Sim-to-Real Gap in autonomous systems such as robotics and autonomous driving >
Preferred Skills:
Nice-to-have:
Experience with C++ Experience with End-to-End (E2E) driving models. >
Experience with working with simulators (CARLA, IsaacSim, Gazebo) >
Experience with curating datasets and synthetic data generation (SDG), >
Experience with ML Infras (Kubeflow, MLFlow, Weights & Biases, etc) >
Basic understanding of simulation / scenario-based testing for autonomous driving systems
$19 - $65 an hour
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Sprachkenntnisse
- English
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