mirror of
https://github.com/jackyzha0/quartz.git
synced 2025-12-21 11:54:05 -06:00
1.7 KiB
1.7 KiB
| title | date | tags | ||||
|---|---|---|---|---|---|---|
| Applied ML Engineer | 02.20.25 |
|
(NYC, Full-Time)
About the Role
We're searching for an applied machine learning engineer excited to work on the ML side of Honcho. 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)