Adaptive Real-Time ML Systems Engineer

adaption; San Francisco (CA); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Flexible work in Bay Area

Travel stipend

Lunch stipend

Comprehensive medical benefits

Job summary

Adaption is seeking an engineer who thrives at the intersection of applied research and building real-world products in the Bay Area. You’ll drive the design and implementation of adaptable data strategies and build pipelines that retrain or fine-tune models from production data rather than just querying static data.

You’ll work directly with the founding team to shape research direction and product vision, requiring technical excellence, ownership, and a passion for delivering real-world impact

Qualifications

• Bachelor’s degree in Computer Science, Machine Learning, or a related field.
• 3–4 years of machine learning, applied research, or systems-level engineering for AI.
• Experience closing the loop from production signals to retraining/fine-tuning.
• Experience with online learning, reinforcement learning, or efficient ML architectures.
• Strong software engineering skills and familiarity with Python.
• Exposure to observability tools (OpenTelemetry, Docker, Grafana).
• Excellent communication and ability to align work with goals.
• Ownership mindset, curiosity, bias toward action.

Responsibilities

• Deliver Real-World Impact: lead development and deployment of efficient, adaptive ML systems in production.
• Own implementation of data products addressing data, interaction, and evaluation challenges.

Skills

Python

ML

Software Eng

Observability

Communication

Ownership

Education

Bachelor's degree in CS/ML

Tools

Docker

OpenTelemetry

Grafana

Job description

Adaption is seeking an engineer who thrives at the intersection of applied research and building real-world products in the Bay Area. You’ll drive the design and implementation of adaptable data strategies and build pipelines that retrain or fine-tune models from production data rather than just querying static data.

You’ll work directly with the founding team to shape research direction and product vision, requiring technical excellence, ownership, and a passion for delivering real-world impact