Top Reasons to work with our client: - We support publishing at top robotics/ML venues and presenting at conferences (travel time fully covered)!
- Advance SOTA dexterous manipulation research through novel methodologies while bridging theory & practicereal customer use-cases with clear success criteria!
- Medical dental & vision plans!
- Daily meals stipend!
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Job Type : Full Time
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Location : San Bruno California
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Pay : Competitive Pay & Benefits!
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Job Description
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What you will be doing:
- Design and develop robot autonomy software stack and algorithms to enable capabilities including grasping and more dexterous behaviors in unstructured environments
- Research and implement state-of-the-art robot learning policies including reinforcement learning and imitation learning-based techniques
- Build reliable high-speed robot autonomy software stack optimized for inference performance
- Design and maintain robust data collection and curation pipelines for production robot fleets
- Optimize robot policies for distributed training at scale and real-time edge deployment
- Ship production quality safety-critical software
Experience you will need:
- Masters/PhD degree in Computer Science Machine Learning Robotics or equivalent technical discipline
- Deep expertise in machine learning fundamentals reinforcement learning and associated frameworks (PyTorch TensorFlow Ray etc.)
- 3 years of proven track record developing and deploying ML systems from research through production implementation
- Hands-on experience with model lifecycle management including training deployment and maintenance in production settings
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Our client asked me to submit 3 great people within the next few days. We work directly with the hiring manager and can arrange interviews within a few days
|
#INDEH123
Top Reasons to work with our client: We support publishing at top robotics/ML venues and presenting at conferences (travel time fully covered)!Advance SOTA dexterous manipulation research through novel methodologies while bridging theory & practicereal customer use-cases with clear success criteria...
Top Reasons to work with our client: - We support publishing at top robotics/ML venues and presenting at conferences (travel time fully covered)!
- Advance SOTA dexterous manipulation research through novel methodologies while bridging theory & practicereal customer use-cases with clear success criteria!
- Medical dental & vision plans!
- Daily meals stipend!
|
Job Type : Full Time
|
Location : San Bruno California
|
Pay : Competitive Pay & Benefits!
|
Job Description
|
What you will be doing:
- Design and develop robot autonomy software stack and algorithms to enable capabilities including grasping and more dexterous behaviors in unstructured environments
- Research and implement state-of-the-art robot learning policies including reinforcement learning and imitation learning-based techniques
- Build reliable high-speed robot autonomy software stack optimized for inference performance
- Design and maintain robust data collection and curation pipelines for production robot fleets
- Optimize robot policies for distributed training at scale and real-time edge deployment
- Ship production quality safety-critical software
Experience you will need:
- Masters/PhD degree in Computer Science Machine Learning Robotics or equivalent technical discipline
- Deep expertise in machine learning fundamentals reinforcement learning and associated frameworks (PyTorch TensorFlow Ray etc.)
- 3 years of proven track record developing and deploying ML systems from research through production implementation
- Hands-on experience with model lifecycle management including training deployment and maintenance in production settings
|
Our client asked me to submit 3 great people within the next few days. We work directly with the hiring manager and can arrange interviews within a few days
|
#INDEH123
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