AI Research Engineer

Straker

. Build custom models for customers and across arbitr's platforms .

Posted 9/18/2026full-timeTokyo • JapanMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in model building, including LoRA, PT, and reinforcement learning, with a strong foundation in Python and data science. Capable of managing the end-to-end model pipeline, from design to deployment, while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Model BuildingPython ProgrammingData ScienceModel DebuggingGPU Infrastructure Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model BuildingLoRAPTReinforcement LearningInferenceDataset DesignModel TrainingModel DebuggingPython ProgrammingData Science

Soft Skills

Self-Starter MindsetPersonal AccountabilityTeam CollaborationIndependent Work

Tools & Technologies

GPU InfrastructureBenchmark ToolingModel Evaluation GatesOrchestration Systems

Industry Keywords

AI StrategyModel PipelineResearch WorkstreamsStrategic EngagementsTechnical Guidance

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Build custom models for customers and across arbitr's platforms
Own the model pipeline end-to-end, from initial experiments through production and beyond
Build retrieval, memory, reasoning, and orchestration systems around models
Build benchmark tooling and evaluation gates for model quality
Track new models and training techniques and integrate relevant advances into the stack
Design research workstreams from problem statements through experiments, findings, and pipeline changes
Deploy, serve, monitor, and orchestrate models at scale on GPU infrastructure
Support strategic engagements with global partners
Provide architecture reviews, AI strategy input, and hands-on development across arbitr's wider platform work
Collaborate with the Head of AI Research and Model Engineering and provide technical guidance to product, engineering, and partnerships

Requirements

What you’ll need

Must have working rights for Japan
Detailed understanding of model building, including LoRA, PT, reinforcement learning, and inference
Experience training a model from the ground up
Understanding of model internals and ability to debug models
Experience designing and building datasets
Working background in data science
Strong Python skills
Ability to work independently or with a team
Self-starter mindset and personal accountability for outcomes
Familiarity with the ideas published at labs.straker.ai, or appetite to get familiar quickly

Benefits

Comp & perks

Competitive base + benefits
Hybrid work arrangement
Accessibility accommodations at any stage of the interview process