Plan, launch, and optimize digital marketing campaigns across various platforms, analyze performance, conduct A/B testing, and manage reporting.

Support the CEO with scheduling, coordination, and administrative tasks; facilitate cross-functional projects and ensure timely deliverables through effective tracking and follow-ups.

Lead the research and intelligence direction for an AI system focused on context-aware interactions, model evaluation, and safety metrics.

The Technical Lead, Machine Learning will build and manage end-to-end ML pipelines, design scalable systems, and oversee deployment for high-performance AI applications.

As VP of Engineering, you'll lead the application engineering strategy and team, integrating AI capabilities into products while ensuring quality and execution across backend, mobile, and desktop platforms.

Drive strategic hiring for Engineering, Product, and Data Science roles globally, managing the full-cycle recruitment process, executing sourcing strategies, and improving interview processes for a top candidate experience.

The Technical Talent Partner will manage the full recruitment lifecycle for US-based technical roles and build candidate pipelines, focusing on screening and coordinating interviews with engineering teams.

Lead the application engineering strategy, manage a team, make critical decisions for AI product integrity and performance, and ensure system quality.

Responsible for building and maintaining end-to-end ML pipelines and deploying production-grade ML systems. Tasks include model fine-tuning, evaluation, and collaboration with engineering teams.

Lead the research and development of AI systems with a focus on reasoning, planning, and evaluation. Oversee the evolution of machine learning models and technical strategies, collaborating with engineering teams to shape product intelligence.

The role involves leading engineering teams and strategies for AI-powered applications, ensuring integration of ML capabilities into user-friendly systems across various platforms while promoting a culture of technical excellence.

The role involves full-cycle recruitment of technical talent globally, developing sourcing strategies, consulting with leadership, and improving candidate experience.

Lead the development of production-grade machine learning systems, build ML pipelines, and optimize models for deployment and performance.

As a DevOps Engineer, you will design CI/CD pipelines, manage Kubernetes clusters, provision cloud infrastructure, and improve system reliability and performance.

The role involves full-cycle technical recruiting in China for engineering positions, including sourcing and screening candidates, coordinating interviews, and maintaining ATS records.

Drive global technical hiring for specialized roles, manage recruitment strategies, consult with engineering leadership, and analyze recruitment metrics.

Lead the recruitment of specialized technical talent globally, manage the full-cycle recruitment process, and enhance candidate experience while consulting with technical leaders.

Drive strategic hiring of engineering, product, and data science talent globally, managing full-cycle recruitment and improving interview processes.

As a Data Engineer at BJAK, you'll build and maintain data pipelines, manage data infrastructure, and collaborate with teams to ensure reliable data access for analytics and product insights.

The VP of Research, Machine Learning will set research direction for AI systems, focusing on context representation, reasoning, and evaluation frameworks while ensuring product safety and alignment.