About Martian:

• Martian is doing for LLMs what Google did for websites. In the early internet, the number of websites was exploding and it was hard to figure out what website you should use for what task. Google fixed that problem by building a search engine that aggregated websites across the internet. A similar problem exists in AI today; the number of models is exploding and it's hard to figure out what model you should use for what task. Martian fixes that problem through a model router: You give us your prompt, we run it on the best model in real time.

• We can do this because we've learned how to predict the performance of a model without running it. That lets us find a model which can complete your request with the highest performance and lowest cost. The value proposition is simple: stop worrying about AI, start focusing on product.

• That idea -- making it so that people can stop worrying about AI -- is the core of what we do. Model-routing is just the first tool we're building to help understand the way in which models behave. By pioneering techniques like this, we want to solve the most fundamental problem in AI: understanding why models behave the way they do, and creating guarantees they'll behave the way we want.

Responsibilities

• AI Research Content Development

  • Produce in-depth technical content on model interpretability and LLM routing

  • Write research papers for top AI conferences and journals

  • Create detailed blog posts explaining complex AI concepts

• LLM and Transformer Architecture Analysis

  • Analyze and explain the internal workings of LLMs and transformer architectures

  • Develop content on how Martian's technology improves model performance

  • Compare and contrast different LLM architectures and their implications

• AI Trend Analysis and Technical Commentary

  • Monitor and respond to new developments in AI, especially in LLMs and interpretability

  • Analyze new AI papers and relate them to Martian's work

  • Provide technical commentary on emerging AI trends and breakthroughs

• Technical Community Engagement

  • Participate in technical discussions with AI researchers on social media

  • Represent Martian's technical perspective in AI forums and conferences

  • Develop and maintain relationships with key technical influencers in AI

• Model Performance and Routing Insights

  • Create content explaining Martian's routing technology and its benefits

  • Develop case studies and performance comparisons between different LLMs

  • Explain technical aspects of model selection and performance optimization

• AI Ethics and Interpretability Discourse

  • Engage in discussions about AI ethics, particularly related to LLM use

  • Produce content on the importance of model interpretability

  • Explain how Martian's work contributes to more responsible AI development

Required Qualifications:

• Ph.D. in Computer Science, Machine Learning, or a closely related field

• Deep understanding of transformer architectures, LLMs, and model interpretability techniques

• Proven track record of publishing technical AI research papers in top-tier conferences or journals

• Excellent writing skills with the ability to explain complex AI concepts clearly to a technical audience

• Strong analytical skills and experience in evaluating AI model performance

• Demonstrated ability to engage in high-level technical discussions about AI on social media platforms, particularly X

• Minimum 3 years of experience in AI research or a related technical role

• Proficiency in Python and experience with popular deep learning frameworks (e.g., PyTorch, TensorFlow)

• Solid understanding of statistical analysis and machine learning evaluation metrics

Desired Skills:

• Experience in science communication or technical journalism for AI/ML topics

• Familiarity with LLM routing techniques and multi-model AI systems

• Knowledge of AI ethics and the broader implications of AI technology

• Experience creating data visualizations and explanatory diagrams for complex AI concepts

• Track record of presenting at major AI conferences or workshops

• Ability to rapidly analyze and synthesize new AI research papers

• Experience in developing or contributing to open-source AI projects

• Experience in technical blog writing or maintaining a personal blog on AI topics

• Proficiency in LaTeX for academic writing

What We Offer:

• Competitive salary and equity packages

• Health, dental, and vision insurance plans

• Unlimited PTO

• Daily lunch

• Team dinners