mirror of
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fresh requisitions
This commit is contained in:
Courtland Leer
parent
1d0c8224b8
commit
9200e23c4f
@ -100,7 +100,7 @@ We imagine a near future where any group could instantiate an agentic proxy to p
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## Gratitude
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The team at [Plastic](https://plasticlabs.ai) has been amazed and inspired by the enthusiasm and earnestness of the community that's formed around YouSim over the last several days. Truly remarkable. Not to mention the generous donations to our [[careers/Research Grants|grants program]] (more to come here soon).
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The team at [Plastic](https://plasticlabs.ai) has been amazed and inspired by the enthusiasm and earnestness of the community that's formed around YouSim over the last several days. Truly remarkable. Not to mention the generous donations to our [[Research Grants|grants program]] (more to come here soon).
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Thank you all, excited to keep building together--we're in it for the long haul.
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31
content/careers/Applied ML Engineer.md
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31
content/careers/Applied ML Engineer.md
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@ -0,0 +1,31 @@
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---
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title: Applied ML Engineer
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date: 02.20.25
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tags:
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- positions
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- ml
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- dev
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- announcements
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---
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(NYC, Full-Time)
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## About the Role
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We're searching for an applied machine learning engineer excited to work on the ML side of [Honcho](https://honcho.dev). You'll work alongside our interdisciplinary team to transform novel ideas into production systems that help LLMs understand and align with individual users.
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This role requires a strong engineer who rapidly prototypes and ships ML systems. The pace of the LLM space is staggering--we need someone with a hacker mentality who eagerly dives into papers/codebases and implements novel methods at breakneck speed to figure out what actually works.
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Our team is small and fast-moving, so you'll have the freedom to experiment widely and deploy impactful features quickly.
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## About You
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- 2-3 years applied LLM experience or equivalent
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- NYC-based or open to NYC relocation
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- Proficiency with a popular Python ML library (e.g PyTorch, TF, JAX, HF transformers, etc)
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- Experience building LLM systems
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- Experience with post-training methods & implementing LLM papers
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- Comfortable in Unix environment + attendant command line tools (Git, Docker, etc)
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- Up to date on OS AI community & technologies
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- High cultural alignment with Plastic Labs' ethos
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- Complementary interest or experience specific to reinforcement learning, representation engineering, control vectors, prompt optimization, sparse auto-encoders, agentic frameworks, emergent behaviors, theory of mind, identity, a plus
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- Complementary background in cognitive sciences (cs, linguistics, neuroscience, philosophy, psychology, etc) or other adjacent interdisciplinary, a plus
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(Back to [[Work at Plastic]])
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@ -1,44 +1,44 @@
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---
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title: Founding Engineer
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date: 08.23.24
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date: 02.20.25
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tags:
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- positions
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||||
- dev
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||||
- announcements
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||||
---
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||||
(NYC / Remote, Full-Time)
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(NYC, Full-Time)
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## About the Role
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We're searching for a founding engineer to help build the future of Plastic. That means actively iterating on the current version of [Honcho](https://honcho.dev) while co-creating the next version of our novel user represenation networking infrastructure and what lies beyond.
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We're searching for a founding engineer to help build the future of Plastic. As a key technical leader, you'll work directly with the CTO to architect and implement Honcho, our distributed user representation infrastructure, while co-creating the next generation of decentralized AI agent coordination systems.
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This role requires a full-stack engineer who can architect, build, and maintain complex systems from the ground up. That involves making critical technical decisions across the entire stack, from crafting intuitive user interfaces to designing robust backend systems, and managing cloud deployments. More than that, Plastic has several active projects, so context switching acumen is a must.
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This role requires a systems-oriented engineer who can architect, build, and maintain complex distributed systems from the ground up. You'll make critical technical decisions across the entire stack, from designing scalable distributed architectures to implementing robust backend systems and managing cloud deployments. You'll also help shape our technical strategy around distributed consensus, network reliability, and system scalability.
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It's an opportunity for high-agency problem solving at multiple layers of abstraction. We need someone passionate about owning projects end-to-end with a track record of successfully deploying and maintaining production systems. If you're excited by solving problems at the edge, learning on the fly, and searing your mark into fundamentally new technological paradigms, let's talk.
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While distributed systems expertise is core to this role, we need a versatile technical leader who can fill gaps wherever needed. You'll be responsible for end-to-end ownership of projects, from high-level architecture to hands-on implementation. If you're excited by solving complex distributed systems challenges, can think deeply about system design, and want to help define fundamentally new technological paradigms, let's talk.
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## About You
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- 3-4 years experience in similar roles or equivalent
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- High cultural alignment with Plastic Labs' ethos
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- Primary location +/- 3 hrs of EST
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- NYC-based or open to NYC relocation
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- All requirements listed for our [[Full-Stack Engineer]] role, plus...
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- Adept thinking globally & locally, at multiple layers of abstraction, & high-level synthesis
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### Technical Expertise
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- Deep experience with distributed systems design and implementation
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- Strong background in containerization and orchestration (Kubernetes, Nomad, etc.)
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- Experience building and maintaining microservice architectures
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- Familiarity with distributed consensus protocols and eventual consistency
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- Background in handling distributed state, caching, and data replication
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- Experience with high-throughput, large-scale network systems
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### Leadership & Execution
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- Adept at thinking globally & locally, at multiple layers of abstraction, & high-level synthesis
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- Comfortable solving problems with high-agency, broad freedom, & significant responsibility
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- Impulse for rapid learning & opinionated application
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- Experience managing projects & shipping/owning end-to-end
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- Track record of managing projects & shipping/owning end-to-end
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- Experience in system design, maintaining projects, deploying, optimization, architecture, & rapid iteration
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- Experience in DevSecOps
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- Strong DevSecOps background
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### Additional Qualities
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- Up to date interest in OS AI community & LLM technologies
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- Complementary interest or experience in cryptography, machine learning, distributed systems, identity, etc a plus
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- Complementary interests in cognitive sciences (cs, linguistics, neuroscience, philosophy, & psychology) or other adjacent interdisciplinary fields a plus
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- Experience with cryptography, machine learning, or identity systems, a plus
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- Complementary interests in cognitive sciences (linguistics, neuroscience, philosophy, psychology, etc) or other adjacent interdisciplinary fields, a plus
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||||
|
||||
## How to Apply
|
||||
Please send the following to dev@plasticlabs.ai:
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- **Resume/CV** in whatever form it exists (PDF, LinkedIn, website, etc)
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- **Portfolio** of notable work (GitHub, pubs, ArXiv, blog, X, etc)
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- **Statement** of alignment specific to Plastic Labs--how do you identify with our mission, how can you contribute, etc? (points for brief, substantive, heterodox)
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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.
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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).
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||||
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(Back to [[Work at Plastic]])
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(Back to [[Work at Plastic]])
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@ -1,54 +1,50 @@
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---
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title: (FILLED) Full-Stack Engineer
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date: 08.23.24
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title: Full-Stack Engineer
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date: 02.20.25
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tags:
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- positions
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- dev
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- announcements
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---
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> [!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.
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> Check out our other [[Work at Plastic|open positions here]].
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(NYC / Remote, Full-Time)
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(NYC, Full-Time)
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## About the Role
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We're searching for a product-minded full stack engineer to help shape and build Honcho's user-facing applications. You'll work at the intersection of design and engineering, rapidly iterating on product features while ensuring seamless integration with our infrastructure.
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We're searching for a full-stack engineer to help build [Honcho](https://honcho.dev), our user representation infrastructure, and accelerate the development of a new paradigm of AI personalization.
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You should be comfortable working across the stack, from crafting user interfaces to designing APIs and managing deployments. It requires strong foundations both frontend and backend.
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This role is a fast-paced opportunity to work alongside a seasoned interdisciplinary team. If you're eager to learn, can tackle diverse challenges quickly, and love building at the edge, get in touch.
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This role requires someone who can transform ideas into polished user experiences, from initial mockups to production-ready features. You'll be responsible for crafting intuitive interfaces, implementing responsive designs, and building the APIs that power them. If you're passionate about creating exceptional user experiences, can move quickly from concept to implementation, and love working at the frontier of AI technology, we want to hear from you.
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## About You
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- 1-2 years experience or equivalent (new grads OK)
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- High cultural alignment with Plastic Labs' ethos
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- Primary location +/- 3 hrs of EST
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- Impulse for rapid learning & trying new tech at the edge
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- Adept with Python &/ Node.js
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- Experience building CRUD APIs
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- Experience with basic Linux & Shell
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- Experience with cloud deployment (AWS, GCP, Azure, Fly, etc)
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- Experience with SQL databases
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- Experience with Docker containers
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- Experience with Github & Git workflows
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- Experience leveraging AI tools to argument workflow
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- Familiarity with & interest in LLMs
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- Interest in security, distributed systems, & identity
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- Complementary interest in cognitive sciences (cs, linguistics, neuroscience, philosophy, & psychology) or other adjacent interdisciplinary fields a plus
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- NYC-based or open to NYC relocation
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||||
## How to Apply
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### Technical Skills
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- Strong foundation in modern web development (Next.js, React)
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- Experience with Python backend development and FastAPI
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- Proficiency in building and maintaining CRUD APIs
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- Experience with SQL databases and data modeling
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- Comfortable with Docker containers and deployment
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- Experience with Git workflows and collaboration
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- Experience building with or integrating LLM-powered features
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Please send the following to dev@plasticlabs.ai:
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### Design & Product Skills
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- Eye for design and attention to detail
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- Experience translating mockups into production features
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- Ability to iterate quickly on user interfaces
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- Understanding of modern web design principles
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- Knowledge of responsive design and cross-browser compatibility
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- Interest in user experience and interaction design
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- **Resume/CV** in whatever form it exists (PDF, LinkedIn, website, etc)
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- **Portfolio** of notable work (GitHub, pubs, ArXiv, blog, X, etc)
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- **Statement** of alignment specific to Plastic Labs--how do you identify with our mission, how can you contribute, etc? (points for brief, substantive, heterodox)
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### Nice to Have
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- Design portfolio showcasing previous work
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- Experience with design tools (Figma, Sketch)
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- Formal UI/UX training or experience
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- Experience with design systems
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- Background in user research or usability testing
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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.
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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).
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(Back to [[Work at Plastic]])
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### Additional Qualities
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- Impulse for rapid learning & trying new tech
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- Interest in AI and LLM technologies
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- Complementary interest in cognitive sciences (ml, linguistics, neuroscience, philosophy, psychology, etc) or other adjacent interdisciplinary fields, a plus
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(Back to [[Work at Plastic]])
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@ -1,37 +0,0 @@
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---
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||||
title: Plastic Intern(s)
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date: 08.23.24
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tags:
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- positions
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- dev
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- research
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- announcements
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||||
---
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(NYC / Remote, Part-Time)
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||||
## About the Role
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||||
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.
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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.
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## About You
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||||
- High cultural alignment with Plastic Labs' ethos
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||||
- Primary location +/- 3 hrs of EST
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||||
- Impulse for rapid learning & trying new tech at the edge
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||||
- Familiarity with & interest in LLMs
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||||
- Significant experience &/ interest in a number of areas described in our [[Full-Stack Engineer]], [[(FILLED) ML Research Engineer]], &/ [[Founding Engineer]] "About You" sections
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||||
- Alignment with or interest in topics and fields of inquiry explored or anything on [our blog](https://blog.plasticlabs.ai)
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- Complementary interest in cryptography, distributed systems, security, identity, cognitive sciences (computer science, linguistics, neuroscience, philosophy, & psychology) or other adjacent interdisciplinary fields a plus
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||||
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||||
## How to Apply
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||||
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.
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If it's a fit, we'll ask you to send the following to ops@plasticlabs.ai:
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- **Resume/CV** in whatever form it exists (PDF, LinkedIn, website, etc)
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||||
- **Portfolio** of notable work (GitHub, pubs, ArXiv, blog, X, etc)
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||||
- **Statement** of alignment specific to Plastic Labs--how do you identify with our mission, how can you contribute, etc? (points for brief, substantive, heterodox)
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||||
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Try to cover these 3 categories in some way, but be sure to optimize for speed over perfection.
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(Back to [[Work at Plastic]])
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35
content/careers/Platform Engineer.md
Normal file
35
content/careers/Platform Engineer.md
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@ -0,0 +1,35 @@
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---
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title: Platform Engineer
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date: 02.20.25
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tags:
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- positions
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- dev
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- announcements
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---
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(NYC, Full-Time)
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||||
|
||||
## About the Role
|
||||
We're searching for a platform engineer to build and scale Honcho's infrastructure, ensuring our user representation system remains performant, reliable, and secure as we push the boundaries of AI personalization.
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This role focuses on the critical backend and infrastructure components that power our platform. You'll work on performance optimization, auto-scaling systems, and security while contributing to core backend feature development. We need someone who can balance infrastructure reliability with shipping new capabilities, thinking deeply about system architecture while writing production code.
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This is an opportunity to shape the foundation of a novel technological system. If you're passionate about building robust, scalable infrastructure and writing high-performance backend code that powers next-generation AI systems, we want to hear from you.
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|
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## About You
|
||||
- 2-4 years experience in similar roles or equivalent
|
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- High cultural alignment with Plastic Labs' ethos
|
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- NYC-based or open to NYC relocation
|
||||
- Strong experience with distributed systems and scalable architectures
|
||||
- Deep knowledge of cloud infrastructure (AWS, GCP, Azure)
|
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- Experience with performance optimization and latency reduction
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- Proficiency in monitoring, observability, and automated scaling systems
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- Strong background in backend development (Python/Node.js)
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- Experience with containerization and orchestration (Docker, Kubernetes)
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- Solid understanding of security best practices and implementation
|
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- Experience with high-throughput, low-latency systems
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- Familiarity with modern CI/CD practices
|
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- Interest in AI infrastructure and LLM systems
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- Experience with load testing and performance profiling
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- Complementary interest in distributed systems, security, or infrastructure at scale a plus
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(Back to [[Work at Plastic]])
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@ -1,58 +0,0 @@
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---
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title: Research Fellow(s)
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date: 08.23.24
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tags:
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- positions
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- research
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- announcements
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---
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(Remote, Fellowship)
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## About the Role
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We're always on the lookout for talented students and independent researchers interested in qualitative and qualitative projects adjacent to our mission and products. Possible domains of inquiry include but aren't limited to machine learning, alignment, cryptography, the cognitive sciences, and other interdisciplinary fields of study.
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Our fellowships can accommodate stipends or grants for a variety of formats, timelines, and deliverables (one of or a mix of publishable research, OSS code, philosophical investigation, and/or proprietary company tech, etc). We believe that high-trust and autonomy form the foundation of good research culture.
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If collaborating with Plastic to push the boundaries of artificial intelligence, digital identity, radically decentralized alignment, synthetic human representations, frontier security, positive sum data practices, autonomous agents, etc excites you intellectually, please don't hesitate to reach out. We'd love to support your work.
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## About You
|
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- High alignment with Plastic Labs' intellectual space
|
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- Possible research interest in representation engineering, control vectors, prompt optimization, sparse auto-encoders, etc
|
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- Possible research interest in agentic frameworks, autonomous agents, emergent behaviors, theory of mind, identity, alignment, etc
|
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- Possible research interest in the cognitive sciences or other adjacent interdisciplinary fields
|
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- Possible research interest in distributed systems, security, decentralized protocols, or cryptography
|
||||
- Possible research interest in anything explored on [our blog](https://blog.plasticlabs.ai)
|
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|
||||
## 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)
|
||||
- **Proposal** for scope of research adjacent to our mission (approach, needs, budget, timeline, capacity, milestones, deliverables, Plastic intersections, etc)
|
||||
|
||||
Applications without these 4 items won't be considered, but be sure to optimize for speed over perfection. We can help with specifics, but flesh out as much as you can, even if it might change. 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).
|
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|
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## Selected Research We're Tracking
|
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[Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm](https://arxiv.org/pdf/2102.07350)
|
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[Theory of Mind May Have Spontaneously Emerged in Large Language Models](https://arxiv.org/pdf/2302.02083v3)
|
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[Think Twice: Perspective-Taking Improved Large Language Models' Theory-of-Mind Capabilities](https://arxiv.org/pdf/2311.10227)
|
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[Representation Engineering: A Top-Down Approach to AI Transparency](https://arxiv.org/abs/2310.01405)
|
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[Theia Vogel's post on Representation Engineering Mistral 7B an Acid Trip](https://vgel.me/posts/representation-engineering/)
|
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[A Roadmap to Pluralistic Alignment](https://arxiv.org/abs/2402.05070)
|
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[Open-Endedness is Essential for Artificial Superhuman Intelligence](https://arxiv.org/pdf/2406.04268)
|
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[Simulators](https://generative.ink/posts/simulators/)
|
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[Extended Mind Transformers](https://arxiv.org/pdf/2406.02332)
|
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[Violation of Expectation via Metacognitive Prompting Reduces Theory of Mind Prediction Error in Large Language Models](https://arxiv.org/abs/2310.06983)
|
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[Constitutional AI: Harmlessness from AI Feedback](https://arxiv.org/pdf/2212.08073)
|
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[Claude's Character](https://www.anthropic.com/research/claude-character)
|
||||
[Language Models Represent Space and Time](https://arxiv.org/pdf/2310.02207)
|
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[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)
|
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[Cyborgism](https://www.lesswrong.com/posts/bxt7uCiHam4QXrQAA/cyborgism)
|
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[Spontaneous Reward Hacking in Iterative Self-Refinement](https://arxiv.org/abs/2407.04549)
|
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[... accompanying twitter thread](https://x.com/JanePan_/status/1813208688343052639)
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|
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|
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(Back to [[Work at Plastic]])
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@ -1,35 +0,0 @@
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---
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title: Research Grants
|
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date: 08.23.24
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tags:
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- grants
|
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- research
|
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- announcements
|
||||
---
|
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(Latent Space / Remote, No Strings)
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## About the Grants
|
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We've decided to dedicate and deploy $10,000 of no-strings attached, flash grants to researchers doing important work in artificial intelligence. These come with zero expectation from our company and absolutely no attendant fiscal or employment obligations. Funds may be used for any purpose the recipient prefers, with no reporting required.
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|
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Go forth and keep doing awesome shit.
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|
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Plastic believes that open-source research, xenocognitive inquiry, individual alignment and agency projects, work to decentralize AI, philosophical investigation, and pure--often heterodox--exploration into overhung abilities latent to large language models are all *critical* to the health and development of our ecosystem.
|
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|
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We cannot rely only on well capitalized labs, governments, or even the startup landscape to define the entire scope of AI research. We must support independent entities financially to the extent we can. The space is flourishing, but nascent and fragile.
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We hope to do our small part to help.
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## About the Process
|
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Each quarter, we'll select and issue 1-4 small grants. You can apply, but we'll act autonomously to support great work we find compelling regardless. There's no shortage of remarkable individuals doing incredible things.
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|
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Grants will be delivered according to the preference of the researcher (USD, crypto, X tips, etc). Again, with no strings attached.
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|
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## How to Apply
|
||||
Blow our minds--send whatever you think we should see to research@plasticlabs.ai, DM us [on X](https://x.com/plastic_labs), join [our Discord](https://discord.gg/plasticlabs) and introduce yourself, or engage with [our GitHub](https://github.com/plastic-labs).
|
||||
|
||||
Or feel free to recommend a candidate for consideration. Anons, pseudo-anons, synthetic/xeno intelligences, collectives, etc all welcome.
|
||||
|
||||
But again, our process doesn't rely on applications. We'll issue grants as we uncover individuals or groups doing subversive inquiry outside traditional formats.
|
||||
|
||||
|
||||
(Back to [[Work at Plastic]])
|
||||
@ -5,8 +5,7 @@ tags:
|
||||
- positions
|
||||
- announcements
|
||||
---
|
||||
|
||||
Plastic Labs is a research-driven company solving identity for the agentic world.
|
||||
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 synthesizes high-fidelity user representations to instantly personalize the UX of entire app ecosystems--individually aligning each user's agent stack.
|
||||
|
||||
@ -16,24 +15,12 @@ And we believe you deny models intellectual respect at your own risk.
|
||||
|
||||
Plastic is seeking high-agency autodidacts to add intellectual diversity to the team. If you thrive in techno-optimistic, interdisciplinary cultures, this is the place for you. We're a subversive ethos at the edge of emerging tech, more interested in grit than credentials. We stay high touch, build in the open, and teach each other daily.
|
||||
|
||||
We're freshly capitalized and moving fast.
|
||||
|
||||
Join us. LFG.
|
||||
|
||||
## Open Positions
|
||||
|
||||
- [[(FILLED) ML Research Engineer|(FILLED) ML Research Engineer]]
|
||||
- [[Applied ML Engineer]]
|
||||
- [[Founding Engineer|Founding Engineer]]
|
||||
- [[Platform Engineer]]
|
||||
- [[Full-Stack Engineer|Full-Stack Engineer]]
|
||||
- [[Research Fellow(s)|Research Fellow(s)]]
|
||||
- [[Plastic Intern(s)]]
|
||||
- [[Research Grants]]
|
||||
|
||||
## Full-Time Benefits
|
||||
|
||||
- Salaries from $100-200k + equity
|
||||
- Significant compute & data resources
|
||||
- Full health coverage
|
||||
- No strings lifestyle stipend
|
||||
- NYC relocation assistance (optional)
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user