Senior Research Engineer
- Avride Inc. Expired
- Austin, Texas
- Full Time

This job ad was removed 2 hours ago.
Job Description
[]{#docs-internal-guid-f66a9991-7fff-5970-16f6-f9d044b9c525}
Senior Research Engineer
[
]{#docs-internal-guid-f66a9991-7fff-5970-16f6-f9d044b9c525}
Job duties:
[
]{#docs-internal-guid-f66a9991-7fff-5970-16f6-f9d044b9c525}
- Enhance machine learning models:
- Research novel ways to improve the quality of the deep learning models used in the project
- Develop data mining, labeling, training and evaluate pipelines to support the development of machine learning models
- Build tools to productize deep learning models for onboard and offboard deployment
- Develop and maintain a robust machine learning infrastructure that accelerates the research and development cycle
- Develop novel ways to inspect, understand, filter, improve and synthesize data
- Improve
autonomous driving system
perception:
- Design and implement neural networks for various perception problems
- Lead the design, implementation and experiments to evaluate machine learning solutions for the perception component of our autonomous driving system
- Teamwork:
- Collaborate and work in partnership with product teams
[
]{#docs-internal-guid-f66a9991-7fff-5970-16f6-f9d044b9c525}
Required Skills and Experience:
- MS degree in Computer Science and 4+ years of industry experience
- Proficiency in Python and C++
- 4+ years of experience in large-scale production ML systems
- Strong understanding of parallel computing, GPU architecture and experience with CUDA programming
- 4+ years of experience with Deep Learning and training neural networks
- Experience with deployment and optimization of deep learning models
- 4+ years of experience with deep learning frameworks such as PyTorch/JAX and strong knowledge of their internals
- Experience with efficient deep learning techniques such as quantization, distillation and pruning techniques
- 4+ years of experience with Computer Vision
- Familiarity and experience with state of the art in 3D computer vision tasks (such as object detection or semantic segmentation)
- Hands on experience with multi-node distributed training of large modern deep learning models
- Proven experience with vision-language models (VLM) development and evaluation
- Prior experience with multi-modal generative models development and evaluation
- Hands-on experience with Self-Supervised Learning (SSL) in non-image domains
- Knowledge of computer architectures used for neural network inference, and neural network performance characteristics
- 4+ years of experience with robotics applications development
- 4+ years of experience with ROS
- Knowledge of the common design patterns in the self-driving field
- Experience with multi-threaded and stream-based programming models
- 4+ years of experience with the AWS or GCP cloud platform stack
- 4+ years of experience with Linux, Docker, Kubernetes, Terraform
Senior Research Engineer
[
]{#docs-internal-guid-f66a9991-7fff-5970-16f6-f9d044b9c525}
Job duties:
[
]{#docs-internal-guid-f66a9991-7fff-5970-16f6-f9d044b9c525}
- Enhance machine learning models:
- Research novel ways to improve the quality of the deep learning models used in the project
- Develop data mining, labeling, training and evaluate pipelines to support the development of machine learning models
- Build tools to productize deep learning models for onboard and offboard deployment
- Develop and maintain a robust machine learning infrastructure that accelerates the research and development cycle
- Develop novel ways to inspect, understand, filter, improve and synthesize data
- Improve
autonomous driving system
perception:
- Design and implement neural networks for various perception problems
- Lead the design, implementation and experiments to evaluate machine learning solutions for the perception component of our autonomous driving system
- Teamwork:
- Collaborate and work in partnership with product teams
[
]{#docs-internal-guid-f66a9991-7fff-5970-16f6-f9d044b9c525}
Required Skills and Experience:
- MS degree in Computer Science and 4+ years of industry experience
- Proficiency in Python and C++
- 4+ years of experience in large-scale production ML systems
- Strong understanding of parallel computing, GPU architecture and experience with CUDA programming
- 4+ years of experience with Deep Learning and training neural networks
- Experience with deployment and optimization of deep learning models
- 4+ years of experience with deep learning frameworks such as PyTorch/JAX and strong knowledge of their internals
- Experience with efficient deep learning techniques such as quantization, distillation and pruning techniques
- 4+ years of experience with Computer Vision
- Familiarity and experience with state of the art in 3D computer vision tasks (such as object detection or semantic segmentation)
- Hands on experience with multi-node distributed training of large modern deep learning models
- Proven experience with vision-language models (VLM) development and evaluation
- Prior experience with multi-modal generative models development and evaluation
- Hands-on experience with Self-Supervised Learning (SSL) in non-image domains
- Knowledge of computer architectures used for neural network inference, and neural network performance characteristics
- 4+ years of experience with robotics applications development
- 4+ years of experience with ROS
- Knowledge of the common design patterns in the self-driving field
- Experience with multi-threaded and stream-based programming models
- 4+ years of experience with the AWS or GCP cloud platform stack
- 4+ years of experience with Linux, Docker, Kubernetes, Terraform
[]{#docs-internal-guid-f66a9991-7fff-5970-16f6-f9d044b9c525}
Senior Research Engineer
[
]{#docs-internal-guid-f66a9991-7fff-5970-16f6-f9d044b9c525}
Job duties:
[
]{#docs-internal-guid-f66a9991-7fff-5970-16f6-f9d044b9c525}
- Enhance machine learning models:
- Research novel ways to improve the quality of the deep learning models used in the project
- Develop data mining, labeling, training and evaluate pipelines to support the development of machine learning models
- Build tools to productize deep learning models for onboard and offboard deployment
- Develop and maintain a robust machine learning infrastructure that accelerates the research and development cycle
- Develop novel ways to inspect, understand, filter, improve and synthesize data
- Improve
autonomous driving system
perception:
- Design and implement neural networks for various perception problems
- Lead the design, implementation and experiments to evaluate machine learning solutions for the perception component of our autonomous driving system
- Teamwork:
- Collaborate and work in partnership with product teams
[
]{#docs-internal-guid-f66a9991-7fff-5970-16f6-f9d044b9c525}
Required Skills and Experience:
- MS degree in Computer Science and 4+ years of industry experience
- Proficiency in Python and C++
- 4+ years of experience in large-scale production ML systems
- Strong understanding of parallel computing, GPU architecture and experience with CUDA programming
- 4+ years of experience with Deep Learning and training neural networks
- Experience with deployment and optimization of deep learning models
- 4+ years of experience with deep learning frameworks such as PyTorch/JAX and strong knowledge of their internals
- Experience with efficient deep learning techniques such as quantization, distillation and pruning techniques
- 4+ years of experience with Computer Vision
- Familiarity and experience with state of the art in 3D computer vision tasks (such as object detection or semantic segmentation)
- Hands on experience with multi-node distributed training of large modern deep learning models
- Proven experience with vision-language models (VLM) development and evaluation
- Prior experience with multi-modal generative models development and evaluation
- Hands-on experience with Self-Supervised Learning (SSL) in non-image domains
- Knowledge of computer architectures used for neural network inference, and neural network performance characteristics
- 4+ years of experience with robotics applications development
- 4+ years of experience with ROS
- Knowledge of the common design patterns in the self-driving field
- Experience with multi-threaded and stream-based programming models
- 4+ years of experience with the AWS or GCP cloud platform stack
- 4+ years of experience with Linux, Docker, Kubernetes, Terraform
Senior Research Engineer
[
]{#docs-internal-guid-f66a9991-7fff-5970-16f6-f9d044b9c525}
Job duties:
[
]{#docs-internal-guid-f66a9991-7fff-5970-16f6-f9d044b9c525}
- Enhance machine learning models:
- Research novel ways to improve the quality of the deep learning models used in the project
- Develop data mining, labeling, training and evaluate pipelines to support the development of machine learning models
- Build tools to productize deep learning models for onboard and offboard deployment
- Develop and maintain a robust machine learning infrastructure that accelerates the research and development cycle
- Develop novel ways to inspect, understand, filter, improve and synthesize data
- Improve
autonomous driving system
perception:
- Design and implement neural networks for various perception problems
- Lead the design, implementation and experiments to evaluate machine learning solutions for the perception component of our autonomous driving system
- Teamwork:
- Collaborate and work in partnership with product teams
[
]{#docs-internal-guid-f66a9991-7fff-5970-16f6-f9d044b9c525}
Required Skills and Experience:
- MS degree in Computer Science and 4+ years of industry experience
- Proficiency in Python and C++
- 4+ years of experience in large-scale production ML systems
- Strong understanding of parallel computing, GPU architecture and experience with CUDA programming
- 4+ years of experience with Deep Learning and training neural networks
- Experience with deployment and optimization of deep learning models
- 4+ years of experience with deep learning frameworks such as PyTorch/JAX and strong knowledge of their internals
- Experience with efficient deep learning techniques such as quantization, distillation and pruning techniques
- 4+ years of experience with Computer Vision
- Familiarity and experience with state of the art in 3D computer vision tasks (such as object detection or semantic segmentation)
- Hands on experience with multi-node distributed training of large modern deep learning models
- Proven experience with vision-language models (VLM) development and evaluation
- Prior experience with multi-modal generative models development and evaluation
- Hands-on experience with Self-Supervised Learning (SSL) in non-image domains
- Knowledge of computer architectures used for neural network inference, and neural network performance characteristics
- 4+ years of experience with robotics applications development
- 4+ years of experience with ROS
- Knowledge of the common design patterns in the self-driving field
- Experience with multi-threaded and stream-based programming models
- 4+ years of experience with the AWS or GCP cloud platform stack
- 4+ years of experience with Linux, Docker, Kubernetes, Terraform
Job ID: 479644491
Originally Posted on: 6/3/2025
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