Join Luma AI as a Research Scientist/Engineer to develop reinforcement learning infrastructure in a dynamic startup environment.
Posted by employer 1 month ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
- Education
- Master's degree
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Research Scientist or Engineer focuses on developing and optimizing reinforcement learning infrastructure to enhance AI capabilities. Proficiency in machine learning frameworks, programming languages like Python, and a solid understanding of algorithms are essential for success. This position is ideal for experienced professionals with a strong background in AI research or engineering, particularly those who thrive in innovative environments. Luma AI is known for its cutting-edge projects, making it an exciting place for those passionate about advancing AI technology.
Joblaze insights
- Listed 7 days ago on Joblaze — tracked directly from Luma AI's career page.
- Luma AI has 51 other open roles including Simulation Researcher/Engineer, Applied Research Scientist / Engineer, Senior Site Reliability Engineer.
- 212 active infrastructure roles on Joblaze right now.
- 135 active reinforcement learning roles on Joblaze right now.
- Typical infrastructure salary we track runs $155,000–$216,800 (median $180,000, across 87 roles).
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: infrastructure, reinforcement learning.
- What seniority level is this role?
- Luma AI targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Research Scientist / Engineer – Reinforcement Learning Infrastructure role at Luma AI.