Interface Research Engineer

hace 3 semanas

distrito federal, México Adaption A tiempo completo

Join to apply for the Interface Research Engineer role at adaption About Us: Most AI is frozen in place – it doesn’t adapt to the world. We think that’s backwards. Our mandate is to build efficient intelligence that evolves in real‑time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible – it expands access and ensures innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We’re looking for builders and creative thinkers ready to shape the next era of intelligence. Our Research Principles: Sweat the Details: Technical excellence requires obsessing over every detail. We co‑design serving, algorithms, and interface as one system to maximize efficiency and enable real‑time adaptation. Product as Proof: Research ideas are tested through working products. If it doesn’t improve what users can do, we question whether it matters. We share what moves the field; we don’t optimize for paper count. Move with Conviction: We operate with urgency as a unified team, concentrating resources on a few high‑conviction bets where research, product, and impact intersect. The Role: Adaptive intelligence depends on reimagining feedback and interaction. The Interface Research Engineer will design algorithms that leverage different types of feedback and experiment with new ways of interacting with AI models. This research engineering role requires a strong computer‑science background and a willingness to build systems that respond to users and adapt by dynamically reshaping interfaces to facilitate user interaction. Responsibilities Co‑design algorithms that react in real‑time to product signals and feedback, innovating new ways to give feedback that drive better algorithms. Collaborate across software, hardware, and algorithmic domains to achieve system‑wide efficiency gains. Measure what matters: focus on real‑world impact as the ultimate signal of value. Qualifications Deep expertise in at least one area such as model efficiency, real‑time alignment, or algorithmic optimization. Systems thinking ability to understand and optimize across the full ML stack. Strong programming skills in Python; experience with deep‑learning frameworks (PyTorch, JAX, TensorFlow). Knowledge of model optimization techniques (RLHF, finetuning). + Experience in an industry lab with computing at scale. + PhD or equivalent research experience in a computer‑science field. Benefits Flexible work: In‑person collaboration in the Bay Area, a distributed global‑first team, and quarterly off‑sites. Adaption Passport: Annual travel stipend to explore a country you’ve never visited. Lunch Stipend: Weekly meal allowance for take‑out or grocery delivery. Well‑Being: Comprehensive medical benefits and generous paid time off. Seniority level: Entry Level Employment type: Full‑time Job function: Engineering and Information Technology Industries: Technology, Information and Internet Referrals increase your chances of interviewing at adaption by 2x. Location: Mexico City Metropolitan Area Job Title: Interface Research Engineer #J-18808-Ljbffr

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