Machine Learning Engineer

About the Role

Arena Intelligence is seeking a Senior Machine Learning Engineer to help scale and strengthen the core infrastructure that powers real-world AI evaluation. You’ll play a foundational role in shaping how we build, deploy, and improve our model benchmarking systems, working across data pipelines, inference APIs, and new evaluation methodologies. This is an opportunity to apply your technical expertise to a platform trusted by millions, and to help define how cutting-edge AI is assessed in the wild.

As one of the first ML engineers on the team, you’ll partner closely with researchers, engineers, and product leadership to turn new ideas into reliable systems. You’ll help us move fast while staying rigorous, improving reproducibility, scaling up to new modalities, and deepening our ability to understand and compare frontier models.

You’ll

• Architect and build what will become our core modeling for data and evaluation products
• Own the full stack data, model training, and eval pipelines
• Help grow a culture of feedback and rapid product iteration as we build new features as a tight-nit team
• Conduct research into state-of-the-art evaluation methods and contribute to the long-term vision for a centralized, scalable evaluation platform.

You’ll have

• Strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stack
• Experience in deep learning, language models or reward model training
• Experience in working with LLM for fine tuning, prompt engineering, function calling etc
• Self-motivated with a willingness to take ownership of tasks
• A passion for shipping quality products
• 4+ years of industry experience or relevant projects
• Solid understanding of statistics, and various tools and methodologies for evaluating uncertainty in a way that is specific to the given product being shipped