Real-Time Adaptive ML Engineer

adaption; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

adaption is seeking a remote ML engineer to craft adaptive algorithms that learn from live product signals and feedback. You will collaborate across software, hardware, and algorithmic disciplines to squeeze out system-wide efficiency while focusing on real-world impact.

The ideal candidate thrives in a remote environment, brings strong Python and DL framework expertise (PyTorch, TensorFlow, JAX), and enjoys solving complex optimization challenges with high ownership.

Qualifications

• Degree or equivalent CS research/engineering experience.
• Experience with model efficiency, data interfaces, or real-time alignment.
• Systems thinking across the ML stack.
• Strong Python and DL framework experience.

Responsibilities

• Innovation: Build adaptive algorithms that learn in real-time from product signals.
• Cross-Stack Optimization across software, hardware, and algorithms.
• Measure What Matters by focusing on real-world impact and feedback.

Education

Bachelor's or higher in Computer Science

Tools

Python

PyTorch

TensorFlow

JAX

Job description

adaption is seeking a remote ML engineer to craft adaptive algorithms that learn from live product signals and feedback. You will collaborate across software, hardware, and algorithmic disciplines to squeeze out system-wide efficiency while focusing on real-world impact.

The ideal candidate thrives in a remote environment, brings strong Python and DL framework expertise (PyTorch, TensorFlow, JAX), and enjoys solving complex optimization challenges with high ownership.