Adaptive ML Systems Engineer - Real-World Impact

adaption; United States; Hybrid; USD 110,000 - 190,000; Full time

Benefits offered by this job

Flexible work

Adaption Passport

Lunch Stipend

Well-Being

Job summary

Adaption is seeking an engineer who thrives at the intersection of applied research and building real-world products. You will design and implement adaptable data strategies and lead the pipeline that retrains or fine-tunes models from production data.

You'll work directly with the founding team, shaping research direction and product vision, delivering technical excellence and real-world impact through efficient, production-grade ML systems.

Qualifications

• Bachelor's degree in CS, ML, or related field.
• 3–4 years in ML, applied research, or systems-level AI engineering.
• Experience closing the loop from production signal to retraining/fine-tuning.
• Experience with online learning, RL, or efficient ML architectures.
• Strong software engineering skills with Python.
• Exposure to observability tools (OpenTelemetry, Docker, Grafana).
• Excellent communication and alignment with higher-level goals.
• Ownership, curiosity, and bias toward action.

Responsibilities

• Lead development and deployment of adaptive ML systems in production.
• Own data product implementation addressing data, interaction, and evaluation challenges.

Skills

Python

Software engineering

Communication

Ownership mindset

Adaptability

Education

Bachelor's degree in CS/ML

Tools

OpenTelemetry

Docker

Grafana

Job description

Adaption is seeking an engineer who thrives at the intersection of applied research and building real-world products. You will design and implement adaptable data strategies and lead the pipeline that retrains or fine-tunes models from production data.

You'll work directly with the founding team, shaping research direction and product vision, delivering technical excellence and real-world impact through efficient, production-grade ML systems.