Real-Time Adaptive ML Engineer

adaption; San Francisco (CA); Remote; USD 190,000 - 230,000; Full time

Job summary

adaption is seeking engineers to build adaptive algorithms that learn and respond to real-time product feedback. You will collaborate across software, hardware, and algorithms to push system-wide efficiency and real-world impact.

The role emphasizes strong Python skills, experience with DL frameworks, and remote collaboration. You will contribute to optimizing models and refining real-time alignment strategies for scalable AI systems.

Qualifications

• A degree or equivalent research/engineering experience in a computer science field.
• Genuine interest in at least one project touching: model efficiency, synthetic data, interfaces, real-time alignment, or algorithmic optimization.
• Systems thinking—ability to optimize across the full ML stack.
• Strong Python skills and experience with deep learning frameworks (PyTorch, JAX, or TensorFlow).
• Familiarity with model optimization techniques such as RLHF and fine-tuning.
• Strong communication and self-awareness—able to collaborate in a remote environment and accept feedback.
• You care about technical excellence and owning outcomes end to end.

Responsibilities

• Innovation: Build the future of adaptive algorithms that continuously learn and respond in real time to product signal and feedback.
• Cross-Stack Optimization: Collaborate across software, hardware, and algorithms to drive system-wide efficiency gains.
• Measure What Matters: Focus on real-world impact and the ability of the algorithm to interact with the world.

Skills

Python

DL frameworks

RLHF

System thinking

Communication

Remote collaboration

Real-time adaptability

Algorithm optimization

Bold ideation

Education

CS degree or equivalent

Tools

PyTorch

JAX

TensorFlow

Job description

adaption is seeking engineers to build adaptive algorithms that learn and respond to real-time product feedback. You will collaborate across software, hardware, and algorithms to push system-wide efficiency and real-world impact.

The role emphasizes strong Python skills, experience with DL frameworks, and remote collaboration. You will contribute to optimizing models and refining real-time alignment strategies for scalable AI systems.