Research Engineer

adaption

. Lead the development and deployment of efficient, adaptive ML systems in real production environments.

Posted 9/22/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying machine learning systems in production environments, with a strong foundation in Python and experience in online learning and reinforcement learning. Capable of designing adaptable data strategies and effectively communicating technical work to align with organizational goals.

Highest-signal resume keywords

Machine Learning DevelopmentProduction System ImplementationPython ProgrammingOnline LearningReinforcement Learning

ATS Keywords

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Hard Skills

Machine LearningApplied ResearchSystems-Level EngineeringModel RetrainingFine-TuningSoftware EngineeringData StrategiesEfficient ML Architectures

Soft Skills

Excellent CommunicationOwnership MindsetCuriosityAdaptabilityTeamwork

Tools & Technologies

OpenTelemetryDockerGrafana

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Machine Learning

Industry Keywords

Data ProductsProduction Machine Learning SystemsObservability Tools

Tech Stack

Tools & technologies

DockerGrafanaPython

About the role

Key responsibilities & impact

Lead the development and deployment of efficient, adaptive ML systems in real production environments.
Own implementation of data products at Adaption.
Design and implement adaptable data strategies.
Address novel challenges related to data, interaction, and evaluation.
Work directly with the founding team, contributing to research direction and product vision.
Deliver real-world impact through production machine learning systems.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Machine Learning, or a related field
3-4 years of experience in machine learning, applied research, or systems-level engineering for artificial intelligence.
Demonstrated experience closing the loop from production signal back into model retraining or fine-tuning.
Experience with online learning, reinforcement learning, or efficient ML architectures.
Strong software engineering skills and familiarity with Python.
Exposure to working with observability tools (e.g. OpenTelemetry, Docker, Grafana).
Excellent communication skills and ability to align technical work with high-level goals.
A mindset of ownership, curiosity, and a bias toward action.
Adaptability and willingness to work as a teammate.

Benefits

Comp & perks

Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites.
Adaption Passport: Annual travel stipend to explore a country you've never visited.
Weekly meal allowance for take-out or grocery delivery.
Comprehensive medical benefits.
Generous paid time off.