Top Machine Learning Jobs in Yokohama

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

Create and review realistic, locale-specific robotics and natural sciences tasks in Japanese; apply and adapt scoring rubrics; evaluate and score AI and human responses for accuracy, regulatory alignment, and professional quality; produce gold-standard solutions and expert feedback.

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

As a Full-Stack Software Engineer, you will design solutions for B2B commerce partnerships, develop APIs, and work on fintech and e-commerce stacks for APAC markets.

Lead and grow a Japan-based AV engineering team to localise and deliver autonomy features for Japanese roads. Drive end-to-end development, align with HQ and OEMs, hire and mentor engineers across robotics, ML, controls and systems integration, and represent Wayve in technical and product discussions.

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.

The Public Relations Manager will enhance Stripe's reputation in Japan through storytelling, managing relationships with media, and collaborating across diverse teams.

You will develop and optimize machine learning models for EdgeCortix's hardware, collaborating with engineers to meet AI performance goals.

As a Machine Learning Engineer, you'll develop ML-driven behaviors for autonomous driving, lead cross-functional projects, and mentor other engineers, ensuring performance and adaptability in production systems.

Lead technical validation of security solutions, deliver product demos, partner with sales, address objections, stay updated on AI security trends, and travel throughout the sales territory.