Efficiency Research Engineer

Join to apply for the Efficiency Research Engineer role at Adaption .

About Us
We believe the future is adaptable and strive for real‑time efficient adaptation combining algorithms with innovative interface design. Our global team brings top talent in AI innovation and is backed by world‑class investors to build adaptable intelligence.

The Role

We are obsessed with efficiency and collaborate across software, hardware, and algorithmic domains to design scalable AI. In this founding‑team position you’ll shape the research agenda and product direction, explore new research within severe compute budgets, and co‑design algorithms that meet hardware requirements.

Responsibilities

• Lead breakthrough bets on real‑time adaptation, delivering large, real‑time performance gains.
• Collaborate across software, hardware, and algorithmic domains to achieve system‑wide efficiency gains.
• Explore and prototype new research directions in efficient machine learning, alignment, inference‑time scaling, gradient‑free techniques, and data‑efficient methods for rapid alignment and adaptation.

Qualifications

• Deep expertise in at least one area: model efficiency, distributed systems, hardware acceleration, or algorithmic optimization.
• Systems thinking ability to understand and optimize across the full ML stack.
• Strong programming skills in Python and experience with deep learning frameworks (PyTorch, JAX, TensorFlow).
• Knowledge of model optimization techniques (RLHF, fine‑tuning).
• Experience in an industry lab with computing at scale is a plus.

What we offer

• Competitive salary plus meaningful equity.
• Learning and development budget to support your growth.
• Comprehensive medical benefits and generous PTO.
• Annual travel stipend to explore new places.
• Mission‑driven team with high ownership and impact.