Research Scientist - Prediction
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ISEE is seeking a full-time Senior Research Scientist - Prediction to join our team. The ideal candidate has 5+ years of relevant experience in behavior or trajectory prediction, computer vision, motion planning, machine learning, or related areas.
Role responsibilities include:
- Architect and build pipelines for training and evaluating models on real driving data
- Develop and evaluate behavior/trajectory/intent prediction models
- Optimize prediction performance for real-time processing
- Collaborate with and mentor junior engineers
- Engage in cross-functional collaborations with perception and motion planning teams
Qualifications:
- Advanced degree in Computer Science, Robotics, or related field
- Strong knowledge and experience in: pedestrian or vehicle behavior/trajectory prediction, intent prediction, generative modeling, sequence modeling, computer vision, machine learning, robotics
- Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Jax
- Strong C++ and/or Python skills
Preferred:
- Experience collaborating cross-functionally with perception and planning teams
- Passionate about self-driving vehicles and real-world robotic solutions.
- Strong presentation and communication skills.
- Publication record in top-tier robotics, machine learning, or computer vision conferences.
- At least 3+ years industrial experience in developing Computer Vision/Deep learning algorithms in real-world scenarios.
- Robotics/autonomous experience is a plus.
Research Scientist - Prediction
To see similar active jobs please follow this link: Remote Development jobs
ISEE is seeking a full-time Senior Research Scientist - Prediction to join our team. The ideal candidate has 5+ years of relevant experience in behavior or trajectory prediction, computer vision, motion planning, machine learning, or related areas.
Role responsibilities include:
- Architect and build pipelines for training and evaluating models on real driving data
- Develop and evaluate behavior/trajectory/intent prediction models
- Optimize prediction performance for real-time processing
- Collaborate with and mentor junior engineers
- Engage in cross-functional collaborations with perception and motion planning teams
Qualifications:
- Advanced degree in Computer Science, Robotics, or related field
- Strong knowledge and experience in: pedestrian or vehicle behavior/trajectory prediction, intent prediction, generative modeling, sequence modeling, computer vision, machine learning, robotics
- Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Jax
- Strong C++ and/or Python skills
Preferred:
- Experience collaborating cross-functionally with perception and planning teams
- Passionate about self-driving vehicles and real-world robotic solutions.
- Strong presentation and communication skills.
- Publication record in top-tier robotics, machine learning, or computer vision conferences.
- At least 3+ years industrial experience in developing Computer Vision/Deep learning algorithms in real-world scenarios.
- Robotics/autonomous experience is a plus.