WalkMe, the pioneer of the Digital Adoption Platform (DAP), is seeking an Algorithms Engineer to join their team in Tokyo. This role offers an exciting opportunity to work on cutting-edge technology that empowers businesses in the digital world. As an Algorithms Engineer, you'll be at the forefront of integrating Large Language Models (LLMs) into WalkMe's core products, localizing services for the Japanese market, and developing advanced algorithms for GUI perception.
You'll be part of a team developing WalkMe's revolutionary runtime engine, which is transforming the online experience for hundreds of millions of users. The role involves working with proprietary AI-based technology that understands and interacts with graphical user interfaces in real-time, similar to human interaction.
Key responsibilities include leading the full R&D lifecycle, from problem definition to deployment of innovative algorithmic solutions. You'll be engaged in fast-paced research while ensuring that solutions are production-ready and scalable. The role also involves analyzing large volumes of data to create and refine data-driven algorithms.
This position is ideal for someone who is passionate about leading technology to the extreme, wants to make a significant impact, and desires to work with the industry's brightest talent. You'll be part of one of the fastest-growing and successful startups, reporting to the Director of R&D in Tel Aviv.
The ideal candidate will have a strong background in Computer Sciences or Engineering, native-level Japanese language skills, and upper business level English proficiency. Experience with modern web technologies, cloud architectures, and JavaScript runtime core concepts is highly valued. Familiarity with machine learning, natural language processing, and large language models is advantageous.
If you're looking to develop an innovative product, make a real impact, and work in a collaborative team environment, this role at WalkMe could be the perfect fit for you. Join us in empowering digital transformation and shaping the future of digital adoption technology.