Join Skild AI as a Machine Learning Engineer to develop cutting-edge reinforcement learning algorithms for robotic applications.
Posted by employer 1 year ago
First seen on Joblaze 1 month ago
Last verified on the company career page 20 hours ago
Skills & Technologies
Requirements
- Education
- Bachelor's degree
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Joblaze summary
The Machine Learning Engineer at Skild AI focuses on developing and implementing advanced reinforcement learning algorithms tailored for robotic applications, conducting experiments, and optimizing models for real-world scenarios. Key skills include proficiency in Python or C++, experience with deep learning libraries, and a solid grasp of various reinforcement learning techniques. This role is ideal for individuals with a strong background in computer science or robotics, particularly those who thrive in innovative environments and are eager to tackle complex challenges. Skild AI's team is diverse, welcoming both seasoned professionals and recent graduates.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Skild AI's careers page October 27, 2026.
- Salary band is below the typical range for AI/ML roles (median ~$190,000).
- Starts above 9% of 148 comparable mid ai/ml roles that list Python we track (median $150,000 across 57 companies). See Python salary trends
- Python appears in 47.2% of 832 comparable mid ai/ml roles; Robotics appears in 1.8% of 832 comparable mid ai/ml roles.
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: C++, JAX, PyTorch, Python, Robotics, TensorFlow.
- 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 Machine Learning Engineer role at Skild AI.
From the original posting
Company Overview
Position Overview
We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously.
Responsibilities
- Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
- Design and conduct experiments to train RL models and conduct real-world tests.
- Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.
- Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.
- Analyze and interpret experimental results, iterating on model design to achieve desired performance.
- Stay up-to-date with the latest research and advancements in reinforcement learning.
Preferred Qualifications
- BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
- Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
- Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
- Strong background in algorithms, data structures, and software engineering principles.
- Experience with physics simulation engines and tools for training RL.
- Deep understanding of state-of-the-art machine learning techniques and models.
- Extensive industry experience with reinforcement learning and robotic systems.
Standard company text repeated across Skild AI's postings is omitted here.