Member of Technical Staff - Applied ML, Japanese Multimodal
Hybrid (Tokyo)Full-timePosted 2mo ago
About the role
Applied ML Engineer role focused on deploying reliable AI solutions for customers in Japan, working with Liquid AI's Japan team and collaborating with global research, model, inference, and product teams to deploy efficient foundation models in real-world environments.
Responsibilities
- Own applied ML projects for customers in Japan, from technical discovery and scoping through production deployment.
- Integrate, profile, and optimize model inference to meet latency, throughput, memory, power, cost, and reliability requirements.
- Build surrounding software to turn a model into a robust product capability (data pipelines, evaluation systems, serving components, reference implementations).
- Fine-tune or post-train models using techniques such as supervised fine-tuning, parameter-efficient fine-tuning, and preference optimization.
- Design task-specific evaluations, conduct systematic error analysis, and iterate across data, models, inference, and system design.
- Work directly with customer engineering teams during design, integration, testing, and rollout, including occasional on-site work.
- Turn lessons from deployments into reusable tooling and feedback for models, inference stack, documentation, and product roadmap.
Qualifications
- Strong engineering skills and experience building, testing, and shipping production-quality ML systems.
- Hands-on experience deploying modern language models, multimodal models, or other deep learning systems beyond notebooks or API proofs of concept.
- Experience with model serving, performance profiling, or inference optimization, balancing model quality with system constraints.
- Proficiency with the open-source ML ecosystem.
- Experience designing evaluations, analyzing model failures, and driving measurable improvements.
- Comfort leading technical discussions with customers and translating ambiguous requirements into shipped systems.
- Professional proficiency in English for collaborating with global teams.
- Experience leveraging agents to amplify your own work.
Skills
Required:Production ML system developmentModel deployment and servingPerformance profiling and inference optimizationOpen-source ML ecosystemEvaluations and failure analysisCustomer-facing technical leadershipEnglish collaborationAgent-based workflows
Benefits
- High-impact work: From prototypes to real-world deployments.
- Distinctive technical problems in deployment with emphasis on efficiency, privacy, latency, and reliability.
- Direct access to core teams and collaboration with researchers and engineers.
- Ownership in a growing market and shaping technical approach in Japan.
- Supportive and growth-driven culture with mentoring and career development.
- Flexible remote work, flexible hours, and unlimited paid time off.
- Competitive salary, equity in unicorn-stage company, and standard benefits in Japan.
Last updated Aug 5, 2026. Interested? Apply on the company site.
About Liquid AI
Build efficient general-purpose AI at every scale.
We build efficient general-purpose AI at every scale. Liquid Foundation Models (LFMs) are a new generation of generative AI models that achieve state-of-the-art performance at every scale, while maintaining a smaller memory footprint and more efficient inference.
AIEdge AIFoundation ModelsGenerative AIliquid-ai-recruiting-target
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