[Remote] Modelling Resident (8-Month Contract)

Note: The job is a remote job and is open to candidates in USA. Adaption is a company focused on building efficient intelligence that evolves in real-time. They are seeking a Modelling Resident to work on production and research projects, building adaptive algorithms and collaborating across software, hardware, and algorithmic domains to drive efficiency gains.ResponsibilitiesInnovation: Build the future of adaptive algorithms that continuously learn. Co-design algorithms that react in real-time to product signal and feedback, and explore new ways of capturing feedback that make those algorithms betterCross-Stack Optimization: Collaborate across software, hardware, and algorithmic domains to drive system-wide efficiency gainsMeasure What Matters: We believe the ultimate signal of value is real-world impact. The smartest algorithm is one capable of interacting with the world — that's why product signal matters so much to how we workSkillsA degree or equivalent research/engineering experience in a computer science fieldGenuine interest in, and at least one project touching: model efficiency, synthetic data, interfaces, real-time alignment, or algorithmic optimizationSystems thinking — the ability to understand and optimize across the full ML stackStrong Python skills and experience with deep learning frameworks (PyTorch, JAX, or TensorFlow)Familiarity with model optimization techniques such as RLHF and fine-tuningStrong communication and self-awareness — you know how to collaborate in a remote environment and you're open to feedbackYou care about technical excellence and last mile impact. We value impact more than effort, and about owning outcomes end to endCompany OverviewAdaption builds AI systems that adapt as real world conditions change. It was founded in 2025, and is headquartered in San Francisco, California, USA, with a workforce of 11-50 employees. Its website is https://www.adaptionlabs.ai/.