mirror of
https://github.com/jackyzha0/quartz.git
synced 2025-12-21 11:54:05 -06:00
32 lines
1.7 KiB
Markdown
32 lines
1.7 KiB
Markdown
---
|
|
title: Applied ML Engineer
|
|
date: 02.20.25
|
|
tags:
|
|
- positions
|
|
- ml
|
|
- dev
|
|
- announcements
|
|
---
|
|
(NYC, Full-Time)
|
|
|
|
## About the Role
|
|
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.
|
|
|
|
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.
|
|
|
|
Our team is small and fast-moving, so you'll have the freedom to experiment widely and deploy impactful features quickly.
|
|
|
|
## About You
|
|
- 2-3 years applied LLM experience or equivalent
|
|
- NYC-based or open to NYC relocation
|
|
- Proficiency with a popular Python ML library (e.g PyTorch, TF, JAX, HF transformers, etc)
|
|
- Experience building LLM systems
|
|
- Experience with post-training methods & implementing LLM papers
|
|
- Comfortable in Unix environment + attendant command line tools (Git, Docker, etc)
|
|
- Up to date on OS AI community & technologies
|
|
- High cultural alignment with Plastic Labs' ethos
|
|
- 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
|
|
- Complementary background in cognitive sciences (cs, linguistics, neuroscience, philosophy, psychology, etc) or other adjacent interdisciplinary, a plus
|
|
|
|
|
|
(Back to [[Working at Plastic]]) |