Senior Staff Behavior Prediction Engineer

Gatik

Mountain View, California

Full Time

Posted March 7, 2026

$170k - $250k

Not Specified

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Job Description

The role involves developing and implementing machine learning models for behavior prediction to enhance the decision-making capabilities of autonomous vehicles, focusing on processing large-scale sensor data and integrating these systems into the broader autonomous driving platform.

Key Responsibilities

Develop key modules of the behavior prediction system to enhance autonomous vehicle decision-making.
Create and maintain software infrastructure for large-scale image and LiDAR data processing.
Design and implement optimized data pipelines for pre-processing, training, post-processing, and inference.
Train and evaluate behavior prediction models such as LSTM and Transformer architectures.
Identify and resolve performance bottlenecks to achieve state-of-the-art results.
Build scalable tools and infrastructure for continuous model improvement and iteration.
Integrate behavior prediction systems into the autonomous driving stack and conduct system tests.

Requirements

Ph.D. with 3 years of industry experience or Master’s degree with 5 years of relevant industry experience
Strong experience with machine learning, particularly in the context of behavior prediction for autonomous driving
Familiarity with machine learning models such as LSTM, Transformer, and other relevant architectures
Proficiency in programming languages such as Python and C++
Experience with deep learning frameworks such as TensorFlow or PyTorch
Familiarity with large-scale data processing and cloud computing platforms
Ability to develop key modules of the behavior prediction system, focusing on accurately predicting the movements and actions of surrounding objects
Ability to create and maintain robust software infrastructure that enables the use of large-scale image and LiDAR data for learning algorithms, ensuring seamless integration and high performance
Ability to design and write highly optimized pipelines for data pre-processing, model training, data post-processing, and inference, ensuring efficiency and scalability
Experience in training advanced behavior prediction models, including LSTM, Transformer, and other relevant machine learning models
Ability to evaluate model performance rigorously, identify and fix performance bottlenecks to achieve state-of-the-art results
Ability to create scalable training and evaluation tools and infrastructure to support continuous improvement and rapid iteration of behavior prediction models
Experience working closely with other engineers to integrate behavior prediction systems into the broader autonomous driving stack
Experience conducting comprehensive system tests to ensure reliability and safety