Real-Time Adaptive ML Engineer

adaption; New York (NY); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Flexible work in-person Bay Area

Travel stipend: Adaption Passport

Lunch stipend

Comprehensive medical benefits & PTO

Job summary

Adaption is seeking an engineer who thrives at the intersection of applied research and building real-world AI products. You will design and implement adaptable data strategies and work directly with the founding team to influence both research directions and product vision.

You’ll deliver real-world impact by building efficient ML systems for production environments and owning data-product implementations, tackling challenges around data, interaction, and evaluation with technical excellence

Qualifications

• Bachelor's degree in CS, ML, or related field.
• 3–4 years of ML, applied research, or systems engineering for AI.
• Experience closing the loop from production signal back into model retraining or fine-tuning.
• Experience with online learning or reinforcement learning.

Responsibilities

• Deliver Real-World Impact: Lead the development and deployment of efficient, adaptive ML systems in real production environments.
• Hands-on Impact: Own the implementation of data products, addressing novel challenges related to data, interaction, and evaluation.

Skills

Machine Learning

Python

Online Learning

Reinforcement Learning

Production Systems

Communication

Ownership Mindset

Education

Bachelor’s degree in Computer Science, ML, or related

Tools

OpenTelemetry

Docker

Grafana

Job description

Adaption is seeking an engineer who thrives at the intersection of applied research and building real-world AI products. You will design and implement adaptable data strategies and work directly with the founding team to influence both research directions and product vision.

You’ll deliver real-world impact by building efficient ML systems for production environments and owning data-product implementations, tackling challenges around data, interaction, and evaluation with technical excellence