diff --git a/content/careers/Founding ML Engineer.md b/content/careers/Founding ML Engineer.md
index 9e6c8aa87..4caff7bcf 100644
--- a/content/careers/Founding ML Engineer.md	
+++ b/content/careers/Founding ML Engineer.md	
@@ -48,17 +48,17 @@ Applications without these 3 items won't be considered, but be sure to optimize
 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
-[s1: Simple test-time scaling](https://arxiv.org/abs/2501.19393)
-[Neural Networks Are Elastic Origami!](https://youtu.be/l3O2J3LMxqI?si=bhodv2c7GG75N2Ku)
-[Titans: Learning to Memorize at Test Time](https://arxiv.org/abs/2501.00663v1)
-[Mind Your Theory: Theory of Mind Goes Deeper Than Reasoning](https://arxiv.org/abs/2412.13631)
-[Generative Agent Simulations of 1,000 People](https://arxiv.org/abs/2411.10109)
-[DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning](https://arxiv.org/abs/2501.12948)
-[Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains](https://arxiv.org/abs/2501.05707)
+[s1: Simple test-time scaling](https://arxiv.org/abs/2501.19393)  
+[Neural Networks Are Elastic Origami!](https://youtu.be/l3O2J3LMxqI?si=bhodv2c7GG75N2Ku)  
+[Titans: Learning to Memorize at Test Time](https://arxiv.org/abs/2501.00663v1)  
+[Mind Your Theory: Theory of Mind Goes Deeper Than Reasoning](https://arxiv.org/abs/2412.13631)  
+[Generative Agent Simulations of 1,000 People](https://arxiv.org/abs/2411.10109)  
+[DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning](https://arxiv.org/abs/2501.12948)  
+[Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains](https://arxiv.org/abs/2501.05707)  
 [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)
+[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)