Plus 2
Machine Learning Engineer Intern - Scenario Simulation
Santa Clara, CA · Intern · Internship
Sponsorship not specifiedDetected 62 days ago
PythonC++Machine LearningDeep LearningPyTorchComputer VisionRoboticsSensorsResearch
About the role
- Enable Closed-Loop Training: Integrate the translated BEV embeddings into a training pipeline to make synthetic data directly usable for planning models.
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.
- Develop and implement a translation layer that converts idealized simulator Ground Truth (GT) into realistic, "noisy" Bird's-Eye View (BEV) embeddings.
- Research and implement a "shortcut" pipeline that bypasses slow image/LiDAR rendering to generate BEV features directly from state data.
- Create the infrastructure necessary for planning models to undergo self-play RL fine-tuning within the bridged BEV feature space.
Requirements
- Required Skills:
Nice to have
- Wide range of opportunities for personal and professional development.
- Catered free lunch, unlimited snacks and beverages.
- PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks.
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
- 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
- Your opportunities joining PlusAI Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Compensation
- Highly competitive salary and benefits package, including 401(k) plan.
Benefits
- Support Reinforcement Learning: Create the infrastructure necessary for planning models to undergo self-play RL fine-tuning within the bridged BEV feature space.
This listing is sourced directly from Plus 2's careers page and normalized into a canonical job model.