The QA Engineer will ensure software quality through integration and system testing, collaborate with developers and stakeholders, and analyze client-reported issues.

Develop and optimize large-scale pre-training language models, implement advanced LLM techniques, and collaborate with teams for deployment solutions.

The Data Engineer will manage patent data operations, design data processing solutions, monitor data quality, and optimize frameworks.

The Content Analyst conducts research and analyzes data to aid product innovation, ensuring data quality and defining content logic for projects.

Research and analyze patent data, collaborate on data SaaS products, and ensure project quality and timely completion by planning and coordinating tasks.

As a Content Analyst, you will collect and organize global pharmaceutical data, track regulatory information, and collaborate with IT to standardize data systems.

Seeking an experienced Java Backend Engineer to lead backend system design, ensuring performance, scalability, and reliability while mentoring junior engineers.

The Senior DevOps/SRE Engineer will ensure platform stability, implement architecture and automation systems, manage security, and lead incident resolution.

Manage patent data operations, analyze data requirements, ensure data quality, optimize processing frameworks, and collaborate on architecture upgrades.

The Senior Search Engine Engineer will design and optimize the search system, enhance search effectiveness, and analyze user behavior for insights.

The Data Project Engineer coordinates internal and external projects, assists teams with follow-ups, and performs data analysis and troubleshooting tasks.

The Content Marketing Specialist will create content, optimize digital experiences, and support the go-to-market strategies for AI products.

As a Backend Engineer Intern, you'll assist in designing and developing backend features using Java and Spring Boot, collaborating with cross-functional teams and improving existing services.

The Big Data Test Engineer will ensure quality of big data solutions through testing, validating data pipelines, and collaborating with data engineers.

Design and implement AI-related business evaluations, construct algorithm test environments, and optimize testing processes in collaboration with R&D teams.

The MLOps Engineer will drive the deployment, monitoring, and optimization of machine learning models in production, ensuring scalability and efficiency of ML infrastructure.

The Senior Computer Vision Engineer will drive innovation in OCR and image search, lead R&D of algorithms, and collaborate on product integration.

Develop and execute product strategy, define roadmap, analyze user needs, and coordinate teams for timely delivery of SaaS products.