Top Machine Learning Jobs in Japan

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

As a Technical and Specialized Recruiter, you will source and recruit top technical talent for AI roles, focusing on building relationships and managing the full recruiting cycle.

Analyze large-scale on-chain data to detect anomalous transactions, develop detection mechanisms and risk monitoring frameworks, apply supervised and unsupervised ML, identify malicious accounts via community-discovery algorithms, and design integrated on-chain/off-chain prevention and control systems.

Lead product roadmap and execution for AI-driven on-chain monitoring tools, coordinate cross-functional teams, analyze market and customer feedback, deliver product features on schedule, and communicate with stakeholders to align expectations.

Lead proactive, hypothesis-driven threat hunts across endpoint, network, and cloud environments; research adversary TTPs (MITRE ATT&CK); develop detections, automate analyses with scripting and ML/LLMs; collaborate with detection engineering, SOC, CTI, and IR teams; perform deep technical forensics and telecommunication-specific threat analysis to improve detection and response.

Perform pre-sales technical activities for Service Provider customers: analyze requirements, design and propose Cisco solutions, create proposals and deliver presentations, run product demos and PoCs, handle technical inquiries, and collaborate with domestic and global teams to win deals and differentiate from competitors.

Lead engineering projects, automation and digitization, new product qualification, and machine/process reliability. Manage budgets, timelines, root-cause troubleshooting, maintenance strategy, and integration of advanced manufacturing technologies. Mentor and develop engineering team, ensure safety and compliance, and coordinate with regional/global stakeholders to drive productivity and operational excellence.

Lead OWNDAYS global finance strategy from Tokyo HQ: drive AI-augmented FP&A, multi-entity budgeting, controllership (Japan GAAP/IFRS), capital and cash management, M&A and store expansion finance, and build a world-class finance team to support aggressive international growth.

Lead development and deployment of ML and epidemiological models using Japan-specific RWD to support commercial planning, HCP targeting, forecasting, and evaluation. Build scalable analytical pipelines, guide cross-functional delivery, communicate insights, and mentor junior analysts to strengthen CET data science capabilities.

Design, develop, and manage large-scale search and content recommendation systems. Apply ML-based personalization to improve content matching and distribution. Lead core recommendation module development, define success metrics, and collaborate with content, product, and business teams to drive AI product upgrades and better user and business outcomes.

Design, build, and manage large-scale search and content recommendation systems using machine learning and personalization techniques. Collaborate with content, product, and business teams to define success metrics, drive AI product improvements, and maximize content value and user impact.

Early-career Performance Engineer in the Binance Accelerator Program. Perform hands-on performance testing and tuning, design AI-powered test strategies using LLMs and ML, build AI-driven anomaly detection and bottleneck analysis tools, research new AI technologies, and improve reliability of large-scale distributed systems.

Design, back-test and implement pricing, risk management, and agency trading strategies; collaborate with developers to integrate models into the trading platform; participate in product ideation, modeling, parameter tuning, and risk evaluation.

Lead product strategy and requirements for AD/ADAS systems, define roadmaps and KPIs, coordinate cross-functional engineering, validation, and release teams, resolve system bottlenecks, ensure mass-production readiness, and communicate priorities to stakeholders and leadership.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

The Application Offering Solution Architect designs solutions to help clients achieve their business goals, leveraging application services and industry expertise, while leading complex projects and collaborating with clients and delivery teams.

Lead and execute internal audits (SOX, AML, key risk audits) across the region; plan audits, supervise teams, perform testing and root-cause analysis, prepare clear reports, present findings to management, and apply data analytics, automation and emerging technologies to improve audit effectiveness and efficiency.

Lead pre-sales discovery and solution design for AspenTech APM across Oil & Gas and Chemicals in Japan. Engage customers, build platform-based solutions (APM, data historian, APC, MES, Data Fabric), create proposals and scopes, support sales campaigns, and drive pipeline with technical and business value articulation. Frequent travel within Japan and regional/global engagements.

Lead strategy and execution for fraud risk management across the platform. Develop detection and prevention frameworks, optimize transaction screening, partner with Compliance, Data Science, Engineering and Product, oversee KPIs and vendor costs, lead a risk strategy team, and pilot AI/LLM-driven tools to enhance detection while enabling business growth and regulatory alignment.

Serve as primary customer contact for high-value accounts, grow relationships, train and support product use, troubleshoot technical/business issues, escalate as needed, drive account growth with sales, and apply data analytics and AI/ML to deliver insights, automation, and executive-ready outputs.

Lead data strategy and delivery for Japan & South Korea, owning analytics portfolio, building AI/ML capability, driving advanced modeling, delivering data products, establishing governance, and advising OU leadership to convert data into business value.

Lead design, build, and scale Coke ON platform features using cloud-native, microservices, and event-driven patterns. Collaborate with product, architecture, data, integration, and security teams to deliver secure, observable, and performant front-end and back-end solutions, integrate AI/analytics, reduce technical debt, and drive engineering best practices (CI/CD, automated testing, DevSecOps).

Work with customers to design, implement, and optimize quantum control workflows on real hardware. Troubleshoot experiment integration, develop Python-based tools, automate calibrations, provide technical guidance, and collaborate with product, R&D, and hardware teams to scale quantum experiments.