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About the Role
We build models that run inside our platforms, along with the retrieval, memory, and evaluation systems. We ship these into production, ensuring they function effectively. You will help define the research roadmap, not just fine-tune existing ones.
Responsibilities
- Build custom models for customers and across arbitr's platforms, owning the pipeline end-to-end.
- Develop systems around models, including retrieval, memory, and reasoning, to deliver production value.
- Own model evaluations by building benchmark tooling to assess model performance.
- Track new models and training techniques, integrating relevant advancements into our stack.
- Design research workstreams from problem statements through to pipeline changes.
- Deploy and manage models at scale, including serving, monitoring, and orchestration on GPU infrastructure.
- Support strategic engagements with global partners, providing technical guidance.
- Provide engineering support for wider platform work, including architecture reviews and AI strategy input.
Requirements
- Experience training models from the ground up, with a deep understanding of underlying mechanisms and debugging capabilities.
- Ability to think in terms of experiments and build evaluation gates before trusting results.
- A relentless drive to move from idea to production, filtering signal from noise.
- Willingness to join a team reinventing itself and contribute to future developments.
- Detailed understanding of model building concepts such as LoRA, PT, reinforcement learning, and inference.
- Comfort designing and building datasets.
- Working background in data science.
- Ability to work independently or collaboratively within a team.
- Strong Python skills.
- Self-starter mindset with personal accountability for outcomes.
- Familiarity with content at labs.straker.ai or the ability to quickly become familiar.
Skills
- Model building
- LoRA
- PT
- Reinforcement learning
- Inference
- Dataset design and building
- Data science
- Python
- Research
- Engineering
- Deployment
- Monitoring
- Orchestration
Location
- Japan/ hybrid
Work Type
- Hybrid
Experience Level
- Mid-level
Salary/Compensations
- competitive base + benefits
About the Company
- arbitr is a 25-year global company (formerly Straker Ltd) with offices across the USA, Japan, Europe, and New Zealand.
- The company has always been at the forefront of technology, including AI, from the inside out.
- We operate in smaller teams, similar to a startup, offering the scale and stability of an established business with the agility and risk appetite of a new venture.
- arbitr has recently renamed itself to reflect its focus on AI and is committed to becoming AI-native from the ground up.
- We are building the necessary infrastructure, research systems, and shared layers to adapt to the rapidly evolving AI field.
Equal Opportunity
- We hire for judgment, curiosity, and evidence, not for pedigree.
- We actively welcome applicants from backgrounds under-represented in AI research.
- If you need accommodations at any stage of the interview process, please inform us, and we will provide them.