Automated Driving Advanced Development Intern, Machine Learning Research

Tri-global Solutions Group Inc.

. Conduct research to advance generative modeling for end-to-end planning from vision in automated driving .

Posted 11/4/2026internshipLos Altos • California • United StatesEntry Level💰 $40 - $65 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in generative modeling, machine learning frameworks, and robotics, with a strong focus on implementing scalable architectures for automated driving. Proficient in Python and experienced in ML engineering workflows, including data curation, model training, and real-world testing.

Highest-signal resume keywords

Ph.D. In Computer Science, Robotics, Engineering, Or Related FieldProficiency In PythonExperience With ML Frameworks Such As PyTorchHands-On Experience With Robotics Or Real-World Sensor DataExperience With ROS And Simulation Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generative ModelingMachine Learning Engineering WorkflowsModel TrainingTrajectory OptimizationObject Detection3D PerceptionImitation LearningTransfer LearningDebugging And Profiling On NVIDIA CUDAMultimodal Transformer Architectures

Soft Skills

Collaborative EngineeringPassion For Building Reliable ML Systems

Tools & Technologies

Weights & BiasesMLflowMetaflowCARLANvidia DriveSim

Industry Keywords

Automated DrivingSensor DataReal-World TestingClosed-Loop EvaluationsData Sampling And Curation

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Conduct research to advance generative modeling for end-to-end planning from vision in automated driving
Implement scalable end-to-end architectures that process raw sensor data to generate vehicle trajectories
Address long-tail driving scenarios with low data coverage
Prototype, validate, and iterate on model architectures using imitation learning and large-scale data
Perform closed-loop evaluations in sensor simulations and real-world testing environments
Explore multimodal and language-conditioned models using external data sources and transfer learning
Implement, evaluate, and integrate ML-based components for perception, planning, and control
Collaborate with researchers, data engineers, and autonomy engineers to scale models from prototype to production
Contribute to Toyota’s global AI efforts and cross-organizational work with Woven by Toyota

Requirements

What you’ll need

Currently pursuing a Ph.D. or equivalent experience in Computer Science, Robotics, Engineering, or a related field
Proficiency in Python for implementing and evaluating research ideas
Experience with ML frameworks such as PyTorch
Understanding of version control, testing, and software engineering fundamentals
Passion for collaborative engineering and building reliable ML systems that support real-world autonomy
Experience with ML engineering workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization
Understanding of debugging and profiling on NVIDIA CUDA stack
Hands-on experience with metrics dashboards, experiment tracking, and ML ops tooling (e.g., Weights & Biases, MLflow, Metaflow)
Hands-on experience working with robotics or real-world sensor data (e.g., video, lidar, IMU, or radar)
Experience in state-of-the-art architectures for object detection and 3D perception
Familiarity with foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures, large-scale distributed training
Experience working with ROS, simulation frameworks (e.g., CARLA, Nvidia DriveSim), or vehicle interfaces
Experience with robot motion planning techniques like trajectory optimization, sampling-based planning, or model predictive control, or experience with automated driving domains (e.g., perception, prediction, mapping, localization, planning, simulation)
Please include links to any relevant open-source contributions or technical project write-ups with your application.

Benefits

Comp & perks

Paid 12-week internship
Medical insurance
Dental insurance
Vision insurance
Paid time off
Holiday pay
Sick time