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Darwin Verified
Artificial Intelligence, Machine Learning, Enterprise Software
Member of Technical Staff, Robot Learning
San Francisco, CAOnsiteFull TimeStaff$120,000–$170,000 /yrPosted 8 days agoHidden Gem · YC Startup
Required skills
- robot learning
- deep learning
- models
- policies
- dexterous manipulation
- assembly
- tool use
- learning architectures
- perception
- reasoning
Nice to have
- ML pipelines
- data warehousing
- experiment platforms
- Python
- SPSS
- Qualtrics
Role summary
Darwin is building general-purpose robot technicians for assembly and maintenance tasks, starting with data centers. They are seeking a Member of Technical Staff specializing in Robot Learning to research, design, and train models for complex physical tasks. The role involves developing learning approaches for dexterous manipulation, designing novel architectures for robot perception and control, and creating data collection strategies and training pipelines. The ideal candidate has strong deep learning foundations, experience in designing and training models, and expertise in machine learning, with a focus on experiment design and evaluation for physical robots.
### **The Mission**
Every machine is built and repaired by skilled hands. The world needs more of them. At Darwin, we're building general-purpose robot technicians that assemble and maintain the machines civilization runs on.
We're starting with data centers, where assembly, commissioning, and maintenance require dexterity, precision, and tool use.
Our robots learn these tasks from demonstrations rather than being explicitly programmed for each workflow. We're a small team building the intelligence, hardware, and company to bring these robots into the real world.
### **What You'll Work On**
* **Robot Learning:** Research, design, and train models and policies for learning complex physical tasks from demonstrations and experience.
* **Dexterous Manipulation:** Develop learning approaches for precise manipulation, assembly, and tool use.
* **Learning Architectures:** Design novel architectures and algorithms for robot perception, reasoning, and control.
* **Data & Training:** Design data collection strategies, training pipelines, and methods for learning from real-world experience.
* **Evaluation & Deployment:** Design experiments, evaluate performance, and improve policies on physical robots.
### **Who You Are**
You're an exceptional machine learning researcher or engineer who wants to build autonomous robots that operate in the physical world.
You have strong foundations in deep learning and experience designing and training models. You think critically about architectures, learning algorithms, data, and experimental design.
You have deep expertise in at least one area of machine learning, with the curiosity to work across disciplines. You're comfortable developing new approaches, testing ideas, and challenging existing methods.
You have high agency, move quickly, and take ownership from research and data collection through training and deployment.
### **Work Eligibility**
Candidates must be authorized to work in the United States. We do not currently sponsor work visas.
Every machine is built and repaired by skilled hands. The world needs more of them. At Darwin, we're building general-purpose robot technicians that assemble and maintain the machines civilization runs on.
We're starting with data centers, where assembly, commissioning, and maintenance require dexterity, precision, and tool use.
Our robots learn these tasks from demonstrations rather than being explicitly programmed for each workflow. We're a small team building the intelligence, hardware, and company to bring these robots into the real world.
### **What You'll Work On**
* **Robot Learning:** Research, design, and train models and policies for learning complex physical tasks from demonstrations and experience.
* **Dexterous Manipulation:** Develop learning approaches for precise manipulation, assembly, and tool use.
* **Learning Architectures:** Design novel architectures and algorithms for robot perception, reasoning, and control.
* **Data & Training:** Design data collection strategies, training pipelines, and methods for learning from real-world experience.
* **Evaluation & Deployment:** Design experiments, evaluate performance, and improve policies on physical robots.
### **Who You Are**
You're an exceptional machine learning researcher or engineer who wants to build autonomous robots that operate in the physical world.
You have strong foundations in deep learning and experience designing and training models. You think critically about architectures, learning algorithms, data, and experimental design.
You have deep expertise in at least one area of machine learning, with the curiosity to work across disciplines. You're comfortable developing new approaches, testing ideas, and challenging existing methods.
You have high agency, move quickly, and take ownership from research and data collection through training and deployment.
### **Work Eligibility**
Candidates must be authorized to work in the United States. We do not currently sponsor work visas.
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