Re-add intern link (#96)

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Vineeth Voruganti 2025-03-28 13:43:25 -04:00 committed by GitHub
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@ -16,7 +16,7 @@ We're seeking a leading machine learning engineer who can architect breakthrough
This role demands someone who thrives at the intersection of research and engineering; someone who can read and reproduce state-of-the-art papers, design novel architectures, and transform promising experiments into production-ready systems. You'll move fluidly between theoretical frameworks and practical implementation, making intuitive decisions about model architecture, quantization strategies, and serving infrastructure.
We need a technical polymath who excels across the ML stack: from designing systematic experiments and running rigorous evaluations to building robust data pipelines and scalable model serving/inference systems. You should be particularly adept with post-training techniques that are redefining the field--from advanced inference-time computation methods to reinforcement learning with reasoning models.
We need a technical polymath who excels across the ML stack: from designing systematic experiments and running rigorous evaluations to building robust data pipelines and scalable model serving/inference systems. You should be particularly adept with post-training techniques that are redefining the field--from advanced inference-time computation methods to reinforcement learning with reasoning models.
The LLM space moves at lightning speed, and so do we. You'll prototype rapidly while maintaining research rigor, implement robust MLOps practices, and craft observable systems that scale. Our small, interdisciplinary team moves fast--high agency is core to who we are. You'll have the freedom to directly impact our research and products to push the boundaries of what's possible in AI.
@ -66,11 +66,10 @@ We're building systems that haven't been built before, solving problems that hav
[Claude's Character](https://www.anthropic.com/research/claude-character)
[Language Models Represent Space and Time](https://arxiv.org/pdf/2310.02207)
[Generative Agents: Interactive Simulacra of Human Behavior](https://arxiv.org/abs/2304.03442)
[Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge](https://arxiv.org/abs/2407.19594)
[Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge](https://arxiv.org/abs/2407.19594)
[Synthetic Sentience: Joscha Bach](https://www.youtube.com/watch?v=cs9Ls0m5QVE)
[Cyborgism](https://www.lesswrong.com/posts/bxt7uCiHam4QXrQAA/cyborgism)
[Spontaneous Reward Hacking in Iterative Self-Refinement](https://arxiv.org/abs/2407.04549)
[... accompanying twitter thread](https://x.com/JanePan_/status/1813208688343052639)
[... accompanying twitter thread](https://x.com/JanePan_/status/1813208688343052639)
(Back to [[Working at Plastic]])

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@ -0,0 +1,41 @@
---
title: Plastic Intern(s)
date: 08.23.24
tags:
- positions
- dev
- research
- announcements
---
(NYC / Remote, Part-Time)
## About the Role
We're always keenly on the lookout for talented young technologists aligned with our mission. Happy to accommodate the right fit in a variety of flexible paid formats and commitments. And we're open to creative and additive non-technical possibilities.
If you're bored at school and looking to learn by doing; have too much free time and want to get your hands dirty; or thinking about what to do next summer, hit us up.
## About You
- High cultural alignment with Plastic Labs' ethos
- Primary location +/- 3 hrs of EST
- Impulse for rapid learning & trying new tech at the edge
- Familiarity with & interest in LLMs
- Significant experience &/ interest in a number of areas described in our [[Full-Stack Engineer]], [[Founding ML Engineer]], &/ [[Founding Engineer]] "About You" sections
- Alignment with or interest in topics and fields of inquiry explored or anything on [our blog](https://blog.plasticlabs.ai)
- Complementary interest in cryptography, distributed systems, security, identity, cognitive sciences (computer science, linguistics, neuroscience, philosophy, & psychology) or other adjacent interdisciplinary fields a plus
## How to Apply
Start by DM'ing us [on X](https://x.com/plastic_labs), joining [our Discord](https://discord.gg/plasticlabs) and engaging, or contributing to [our GitHub](https://github.com/plastic-labs). Don't overthink it.
If it's a fit, we'll ask you to send the following to ops@plasticlabs.ai:
- **Resume/CV** in whatever form it exists (PDF, LinkedIn, website, etc)
- **Portfolio** of notable work (GitHub, pubs, ArXiv, blog, X, etc)
- **Statement** of alignment specific to Plastic Labs--how do you identify with our mission, how can you contribute, etc? (points for brief, substantive, heterodox)
Try to cover these 3 categories in some way, but be sure to optimize for speed over perfection.
(Back to [[Working at Plastic]])

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@ -5,6 +5,7 @@ tags:
- positions
- announcements
---
Plastic Labs is a research-driven company solving personal identity for the agentic world.
We're building [Honcho](https://honcho.dev), the social cognition layer for AI-powered applications. Honcho uses theory-of-mind inference to synthesize high-fidelity user representations. These form deep reservoirs of personal context enabling just-in-time personalization--aligning agents more closely with their users.
@ -23,4 +24,4 @@ Join us. LFG.
- [[Founding Engineer|Founding Engineer]]
- [[Platform Engineer]]
- [[Full-Stack Engineer|Full-Stack Engineer]]
- [[Plastic Intern(s)|Internships]]