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Automotive
The role involves aligning product needs with technology development, optimizing ML-based perception systems, and mentoring within a rapidly scaling environment.
Top Skills:
C++JaxPythonPyTorch
Artificial Intelligence • Machine Learning • Robotics
Develop computer vision models and algorithms for perception in robotics. Implement pipelines for AI model training and deployment on robotic platforms.
Top Skills:
CudaJaxPythonPyTorchTensorFlowTensorrt
Automotive
Lead technical efforts on sensor integration and perception systems, ensuring high performance and reliability in autonomous vehicle technology.
Top Skills:
Data ProcessingMachine LearningPerception SystemsRoboticsSensor Integration
We are seeking a Senior ML Engineer to advance AI capabilities in perception for robotics, focusing on enabling robots to understand dynamic environments and perform complex tasks. You will contribute to building robust AI foundations for next-generation robotic platforms.
Responsibilities:
- Develop computer vision models and algorithms, from data preparation to deployment.
- Build state-of-the-art algorithms for object detection, pose estimation, tracking, depth estimation, multi-sensor fusion and large language models.
- Implement pipelines for multi-task learning and distributed training.
- Deploy AI models on RoboForce robots for real-world applications.
Qualifications:
- Master’s degree in Machine Learning, AI, Robotics, or related field with 4+ years of industry experience.
- Strong programming skills in C++ and Python.
- Expertise in modern ML architectures and computer vision techniques.
- Experience with deep learning frameworks such as PyTorch, JAX, TensorFlow, or similar.
- Strong understanding of linear algebra, geometry, probabilistic theory, numerical optimization, and deep learning, with practical experience in implementing these concepts.
- Requires 5 days/week in-office collaboration with the teams.
Preferred Skills:
- PhD degree and/or publication on top conferences.
- Expertise in neural network deployment (e.g., TensorRT) and GPU programming with CUDA.
- Strong publication record in perception solutions.
- Proven ability to scale training jobs across GPU clusters.
RoboForce Milpitas, California, USA Office
Milpitas, California , United States, 95035
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