Join Skild AI as a Research Engineer to develop scalable robotic systems for general-purpose robotic intelligence.
Posted by employer 1 year ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
- Education
- Bachelor's degree
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Joblaze summary
In the role of Research Engineer at Skild AI, the individual will focus on developing scalable robotic systems that contribute to general-purpose robotic intelligence. Key skills include proficiency in Python and deep learning frameworks, alongside a strong foundation in machine learning and robotics. This position is ideal for candidates with a solid technical background and experience in translating research into practical applications, making it suitable for both emerging talents and seasoned professionals. Skild AI fosters a collaborative environment, encouraging innovative contributions from a diverse team.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Skild AI's career page.
- Skild AI has 63 other open roles including Manufacturing Engineering Manager, Senior Electrical Engineer , Operations Program Manager – Data Infrastructure - India.
- 6527 active Python roles on Joblaze right now.
- 799 active Machine Learning roles on Joblaze right now.
- 481 active PyTorch roles on Joblaze right now.
- Salary band is below the typical range for AI/ML roles (median ~$188,000).
- Pays more than 8% of the 3228 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- What's the salary range?
- Skild AI lists $100,000–$300,000 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Computer Vision, JAX, Machine Learning, PyTorch, Python, Robotics.
- What seniority level is this role?
- Skild AI targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Research Engineer role at Skild AI.
From the original posting
Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
We are hiring Research Engineers to develop scalable robotic systems aimed at achieving general-purpose robotic intelligence. In this role, you'll work with researchers and engineers to implement state-of-the-art machine learning and robot systems. The ideal candidate has a strong technical background, experience in turning research into practical solutions, and a drive to build impactful applications.
Responsibilities
- Develop and implement new algorithms for training and optimizing general-purpose robot foundation models.
- Design and engineer systems to scale research from prototypes to fully deployable solutions, working with large-scale systems and datasets.
- Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL/ IL, Machine Learning, etc.).
- Collaborate with a multidisciplinary team, contributing to the integration of research insights into practical robotics applications.
- Optimize machine learning models for real-world robotic systems.
Preferred Qualifications
- BS, MS or PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
- Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
- Strong track record of publishing papers and/or deploying real-world applications.
- Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation learning, robotics, or computer vision.
- Experience working with robot systems and large-scale model training.