Member of Technical Staff (Research / Engineering)
Join Ineffable Intelligence in London to contribute to groundbreaking research in superintelligence and reinforcement learning.
Posted by employer 4 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 13 hours ago
Skills & Technologies
AI in the day-to-day
null
Not disclosed in this posting: compensation, seniority, years of experience, visa sponsorship.
Joblaze summary
In this role, the individual will engage in cutting-edge research and engineering to develop a superlearner capable of autonomous knowledge acquisition and skill development. Proficiency in reinforcement learning algorithms and a strong technical background are essential for success in this position. This opportunity is well-suited for experienced professionals with a passion for advancing artificial intelligence and a desire to contribute to groundbreaking scientific endeavors. The team at Ineffable Intelligence is focused on achieving a monumental breakthrough in understanding and creating intelligence.
Joblaze insights
- Listed 10 days ago on Joblaze — tracked directly from Ineffable Intelligence's career page.
- Ineffable Intelligence has 1 other open role including Platform Engineer.
- 133 active reinforcement learning roles on Joblaze right now.
- Typical reinforcement learning salary we track runs $154,750–$350,000 (median $230,900, across 62 roles).
Quick facts
- Is the Member of Technical Staff (Research / Engineering) role remote?
- No — this is an on-site role in London.
- Where is the role based?
- Ineffable Intelligence is hiring for this position in London.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: reinforcement learning.
- Is this full-time or contract?
- Full-time for this Member of Technical Staff (Research / Engineering) role at Ineffable Intelligence.
From the original posting
We are recruiting technical contributors to join us in our London office.
Our mission is to make first contact with superintelligence.
We are creating a superlearner that discovers all knowledge from its own experience, from elementary motor skills through to profound intellectual breakthroughs. This superlearning capability - the ability to endlessly discover knowledge and skills, without relying on human data - will be driven by the world’s most powerful reinforcement learning algorithms.
The superlearner is expected to rediscover and then transcend the greatest inventions in human history, such as language, science, mathematics and technology. If successful, this will represent a scientific breakthrough of comparable magnitude to Darwin: where his law explained all life, our law will explain and build all intelligence.
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