From 1d0c8224b853cb5e31794c7960fbb1a21b317b47 Mon Sep 17 00:00:00 2001 From: Courtland Leer Date: Thu, 20 Feb 2025 11:53:59 -0500 Subject: [PATCH] careers updates, minor --- .../careers/(FILLED) ML Research Engineer.md | 68 ------------------- content/careers/Founding Engineer.md | 2 +- ...ack Engineer.md => Full-Stack Engineer.md} | 0 content/careers/Plastic Intern(s).md | 2 +- content/careers/Work at Plastic.md | 2 +- 5 files changed, 3 insertions(+), 71 deletions(-) delete mode 100644 content/careers/(FILLED) ML Research Engineer.md rename content/careers/{(FILLED) Full-Stack Engineer.md => Full-Stack Engineer.md} (100%) diff --git a/content/careers/(FILLED) ML Research Engineer.md b/content/careers/(FILLED) ML Research Engineer.md deleted file mode 100644 index 129a13f97..000000000 --- a/content/careers/(FILLED) ML Research Engineer.md +++ /dev/null @@ -1,68 +0,0 @@ ---- -title: (FILLED) ML Research Engineer -date: 08.23.24 -tags: - - positions - - research - - dev - - announcements ---- -> [!custom] This position has been filled. However, we're always looking to meet great candidates. If you like what's listed here, please reach out regardless -- we are growing fast and might have similar positions in the future. -> Check out our other [[Work at Plastic|open positions here]]. - -(NYC / Remote, Full-Time) - -## About the Role -We're searching for a machine learning research engineer excited to work on problems critical to the next version of [Honcho](https://honcho.dev). In large part, this means exploring novel ways to create and leverage high-fidelity user representations. - -This role requires subversive tactics for working with LLMs--approaching from a representation level, top down thinking, emergent abilities, meta-methods, etc. There's a massive under-explored gulf between deterministic, structured LLM use cases and xenocognitive psychoanalysis. Within it lies enormous opportunity to investigate human-LLM coherence and the personalized, positive sum experiences we can build on that substrate. - -We think the lack of study here is heavily to blame for the divorce of ML evals and product metrics. This leads to poor application retention, trust violations, high churn, and avoiding (abandoning?) much of the space of possible AI apps. Especially those characterized by personalization, user coherence, individual alignment, and social acuity. - -At Plastic, you'll have the opportunity to work with an interdisciplinary team to discover the best ways to represent human identity, unite ML & product outcomes, train best in class theory of mind models, author open-ended evals & frameworks, publish research, contribute to OS ML, set new user data standards of transparency, and shine a light on overhung capabilities lying latent in large language models. - -## About You -- 2-3 years NLP ML experience or equivalent -- High cultural alignment with Plastic Labs' ethos -- Primary location +/- 3 hrs of EST -- Up to date on OS AI community & technologies -- Comfortable in Unix environment + attendant command line tools (Git, Docker, etc) -- Experience training, fine-tuning, & evaluating LLM performance -- Experience implementing & maintaining systems based on SOTA research -- Experience or background in alignment & interpretability methods -- Proficiency with some set of popular Python ML libraries (e.g PyTorch, TF, JAX, HF transformers, etc) -- Complementary interest or experience specific to representation engineering, control vectors, prompt optimization, sparse auto-encoders, agentic frameworks, emergent behaviors, theory of mind, identity a plus -- Complementary background in cognitive sciences (cs, linguistics, neuroscience, philosophy, & psychology) or other adjacent interdisciplinary fields a plus - -## How to Apply -Please send the following to research@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) - -Applications without these 3 items won't be considered, but be sure to optimize for speed over perfection. If relevant, be sure to credit the LLM you used. - -And it can't hurt to [join Discord](https://discord.gg/plasticlabs) and introduce yourself or engage with [our GitHub](https://github.com/plastic-labs). - -## Research We're Excited About -[Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm](https://arxiv.org/pdf/2102.07350) -[Theory of Mind May Have Spontaneously Emerged in Large Language Models](https://arxiv.org/pdf/2302.02083v3) -[Think Twice: Perspective-Taking Improved Large Language Models' Theory-of-Mind Capabilities](https://arxiv.org/pdf/2311.10227) -[Representation Engineering: A Top-Down Approach to AI Transparency](https://arxiv.org/abs/2310.01405) -[Theia Vogel's post on Representation Engineering Mistral 7B an Acid Trip](https://vgel.me/posts/representation-engineering/) -[A Roadmap to Pluralistic Alignment](https://arxiv.org/abs/2402.05070) -[Open-Endedness is Essential for Artificial Superhuman Intelligence](https://arxiv.org/pdf/2406.04268) -[Simulators](https://generative.ink/posts/simulators/) -[Extended Mind Transformers](https://arxiv.org/pdf/2406.02332) -[Violation of Expectation via Metacognitive Prompting Reduces Theory of Mind Prediction Error in Large Language Models](https://arxiv.org/abs/2310.06983) -[Constitutional AI: Harmlessness from AI Feedback](https://arxiv.org/pdf/2212.08073) -[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) -[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) - - -(Back to [[Work at Plastic]]) diff --git a/content/careers/Founding Engineer.md b/content/careers/Founding Engineer.md index 0fddd9a25..06b1ec475 100644 --- a/content/careers/Founding Engineer.md +++ b/content/careers/Founding Engineer.md @@ -19,7 +19,7 @@ It's an opportunity for high-agency problem solving at multiple layers of abstra - 3-4 years experience in similar roles or equivalent - High cultural alignment with Plastic Labs' ethos - Primary location +/- 3 hrs of EST -- All requirements listed for our [[(FILLED) Full-Stack Engineer]] role, plus... +- All requirements listed for our [[Full-Stack Engineer]] role, plus... - Adept thinking globally & locally, at multiple layers of abstraction, & high-level synthesis - Comfortable solving problems with high-agency, broad freedom, & significant responsibility - Impulse for rapid learning & opinionated application diff --git a/content/careers/(FILLED) Full-Stack Engineer.md b/content/careers/Full-Stack Engineer.md similarity index 100% rename from content/careers/(FILLED) Full-Stack Engineer.md rename to content/careers/Full-Stack Engineer.md diff --git a/content/careers/Plastic Intern(s).md b/content/careers/Plastic Intern(s).md index 42ade8eee..d87167dc9 100644 --- a/content/careers/Plastic Intern(s).md +++ b/content/careers/Plastic Intern(s).md @@ -19,7 +19,7 @@ If you're bored at school and looking to learn by doing; have too much free time - 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 [[(FILLED) Full-Stack Engineer]], [[(FILLED) ML Research Engineer]], &/ [[Founding Engineer]] "About You" sections +- Significant experience &/ interest in a number of areas described in our [[Full-Stack Engineer]], [[(FILLED) ML Research 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 diff --git a/content/careers/Work at Plastic.md b/content/careers/Work at Plastic.md index 44444be2f..452669eff 100644 --- a/content/careers/Work at Plastic.md +++ b/content/careers/Work at Plastic.md @@ -24,7 +24,7 @@ Join us. LFG. - [[(FILLED) ML Research Engineer|(FILLED) ML Research Engineer]] - [[Founding Engineer|Founding Engineer]] -- [[(FILLED) Full-Stack Engineer|(FILLED) Full-Stack Engineer]] +- [[Full-Stack Engineer|Full-Stack Engineer]] - [[Research Fellow(s)|Research Fellow(s)]] - [[Plastic Intern(s)]] - [[Research Grants]]