AI Engineer

• Build customer-facing and internal product features end to end.
• Develop web flows, backend APIs, admin tools, dashboards and operational systems.
• Support products across insurance, payments, savings, investing, travel and financial services.
• Work with product, design, mobile and operations teams to launch fast.
• Integrate APIs, handle data flows and improve production reliability.
• Use analytics, feedback and production issues to improve features after launch.
• Help build tools that reduce manual work and improve speed across the business.

Full Stack Software Engineer – AI Neobank App

• Build AI agents, workflows, tools and automations that solve real customer, product and operations problems.
• Apply LLMs, retrieval, tool calling, evaluations, guardrails and automation to practical financial workflows.
• Create AI-assisted experiences for onboarding, support, KYC, risk review, CRM, operations, document handling and product intelligence.
• Work with product and engineering teams to identify what is worth building, then build it quickly and improve it in production.
• Design around real constraints: accuracy, hallucination risk, latency, cost, security, compliance and user trust.
• Turn manual processes into reliable AI-enabled systems that can scale.

Applied AI Engineer

• Build AI-powered workflows, assistants, agents and automation systems.
• Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools.
• Work with product and engineering teams to turn manual processes into scalable AI-native systems.
• Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems.
• Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable.
• Prototype quickly, test with users or operators, then productionize what works.
• Improve speed, quality and consistency across workflows using AI where it creates real business value.

Applied AI Engineer – AI Neobank App

• Build and ship mobile features for Android and/or iOS.
• Create simple mobile flows for insurance, payments, claims, renewals and financial services.
• Work with product, design and backend teams to turn complex journeys into usable mobile products.
• Integrate APIs and handle edge cases, loading states, errors and production issues.
• Improve app performance, reliability, crash rate and user experience.
• Support fast product launches, experiments and iterations across mobile journeys.
• Help set high standards for mobile product quality across the app.

Mobile Developer – AI Neobank App

Applied AI Engineer – Finance Super App

Machine Learning Engineer

• Lead the design and development of advanced machine learning models specifically tailored for autonomous vehicles utilizing deep learning, simulation, and large-scale data analysis
• Deploy scalable and efficient ML models on our autonomous vehicle platform
• Integrate modern technologies with rigorous safety standards while maintaining cost efficiency
• Significantly contribute to development of needed components for end-to-end ML training and deployment, from data strategy to optimization and validation
• Be a champion of the scientific method and critical thinking in inventing state-of-the-art deep learning solutions
• Work in a high-velocity environment and employ agile development practices
• Collaborate closely with teams such as Perception, Motion Planning, Simulation, Infrastructure, and Tooling to drive unified solutions

Senior Machine Learning Engineer, Behavior

• Lead optimization areas in the Ad-Tech domain.
• Utilize data science and machine learning technologies to identify business challenges, develop and implement models, and continuously improve productivity and reliability through iterative enhancements.
• Focus on mid to long-term business goals and impact, propose key issues to be resolved, and prioritize them effectively.
• Employ a data-driven approach to formulate hypotheses, design evaluation strategies, and develop appropriate machine learning models.
• Propose, promote, implement, and validate business improvement plans.
• Develop and maintain machine learning models in the advertising domain, including recommendation systems, matching optimization, and ad classification.
• Apply statistical and data science techniques to uncover product insights and drive optimization based on business logic.
• Enhance the performance of advanced machine learning models by leveraging embeddings for images and text.
• Design time-series models to evaluate advertising effectiveness and optimize advertising budget strategies.

Ad Tech Engineer, Machine Learning Engineer – Marketplace

Computer Vision Engineer

• Driving development as a technical lead for the Computer Vision component in one or multiple projects, including responsibility for requirements management, schedule management, and task management
• Perform software verification, integration, and release management on target hardware
• Engage in mission system validation and real-time operational support

シニアコンピュータービジョンエンジニア / Senior Computer Vision Engineer

• Design, implement, and enhance ML-based driver workload (busyness) estimation algorithms that take vehicle CAN signals, various in-vehicle sensors, and driver operation logs as time-series inputs
• Build and operate training data infrastructure and evaluation pipelines, including label and annotation policy design, data preprocessing, and feature engineering
• Investigate and improve logics that combine CAN-based workload indicators with other workload measures, such as surrounding-vehicle information and image/vision-based indicators
• Design interfaces and specifications to feed workload estimation results into driving suggestion and voice prompt logic, and continuously improve overall feature performance
• Collaborate with software engineers, test engineers, UX members, and other stakeholders to align on requirements and evaluation metrics, and to organize and share experiment results and technical learnings
• Participate, as required by projects and business needs, in planning and conducting evaluations using simulators and on-road test vehicles (including business trips), and drive improvement cycles based on real-world findings

Machine Learning Engineer jobs in Japan

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