Senior Research Scientist in Continual Learning & Self-Improving AI Systems

envision recruitment • United State

Relocation

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AI Summary

Lead groundbreaking research into continual learning, fast adaptation, and self-improving AI systems for a Series A startup. Develop novel approaches to AI memory and progressive intelligence, bridging cutting-edge research with real-world product deployment. Collaborate with a high-growth team to shape an AI engineer capable of solving complex physical-world engineering problems.

Key Highlights

Own research agenda for self-improving AI systems with real-world product impact

Develop novel methods for continual learning, fast adaptation, and memory formation in AI

Work at a Series A startup with $50M funding, transitioning research directly into customer-facing products

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Key Responsibilities

Define and lead research agenda for continual learning, fast adaptation, and self-improving AI systems

Develop novel algorithms and frameworks for AI systems to learn from experience, retain knowledge, and improve progressively

Translate cutting-edge research into practical, deployable solutions for a real-world AI product

Collaborate with cross-functional teams to integrate research findings into scalable engineering systems

Technical Skills Required

Continual Learning (AI/ML) Self-Improving Systems Reinforcement Learning (RL)

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Benefits & Perks

$200,000–$400,000 base salary + equity

Relocation support considered

Potential sign-on bonus

Job Description

Own the research agenda of an AI Engineer that learns, adapts and improves itself.

How interesting does that sound!?

Envision Recruitment are supporting a Series A startup on a mission to build an AI engineer capable of solving complex engineering problems in the physical world.

They've recently raised $50m in Series A funding and are now looking for a Research Scientist to own their research into continual learning, fast adaptation, self-improving systems and memory formation.

You'll be developing new approaches to how AI systems learn from experience, retain knowledge and become progressively more intelligent.

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