Real-Time ML Systems Scientist | Flexible Global Team

Adaption; United States; Híbrido; USD 150.000 - 230.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work with Bay Area in-person

Adaption Passport: Annual travel stip

Weekly lunch stipend for take-out or-g

Comprehensive medical benefits and PTO

Descripción de la vacante

Adaption is building efficient intelligence that evolves in real-time. We design AI systems that are flexible, personalized, and scalable through extreme efficiency and continual adaptation.

Our team collaborates across software, hardware, and ML domains to ship practical, high-performance solutions. This role targets ambitious researchers who thrive in a global-first, distributed environment with a Bay Area presence.

Formación

• PhD or equivalent research experience in computer science.
• 4–5+ years of industry experience.
• Deep expertise in model efficiency, real-time alignment, or algorithmic optimization.
• Systems thinking to optimize across the full ML stack.
• Strong programming in Python.
• Experience with PyTorch, JAX, or TensorFlow.
• Knowledge of model optimization techniques like RLHF and fine-tuning.
• Experience in an industry lab with computing at scale.

Responsabilidades

• Innovate on products to co-design algorithms that react in real-time to signals.
• Design feedback methods that drive better algorithms.
• Collaborate across software, hardware, and algorithmic domains for system-wide efficiency.
• Measure real-world impact of algorithms interacting with the world.

Conocimientos

Python

Deep Learning

Model efficiency

Real-time alignment

Educación

PhD in Computer Science

Herramientas

PyTorch

JAX

TensorFlow

Descripción del empleo

Adaption is building efficient intelligence that evolves in real-time. We design AI systems that are flexible, personalized, and scalable through extreme efficiency and continual adaptation.

Our team collaborates across software, hardware, and ML domains to ship practical, high-performance solutions. This role targets ambitious researchers who thrive in a global-first, distributed environment with a Bay Area presence.