Technical Lead (Python)

AI Research Engineer

Ho Chi Minh - Viet Nam

Product

• Machine Learning
• Python

Focus on improving model usability for users Conduct training runs and AI experiments Analyze results and make necessary changes Collaborate with the product engineering team to implement improvements Implement and improve upon recent RL techniques like GRPO, DPO, RePO, etc. Create and manage adaptable, expandable training codebases Establish and maintain efficient data pipelines, including both synthetic and real data Ensure training jobs are capable of scaling across multiple GPUs and nodes, such as FSDP, DDP, NCCL Maintain code health over the long term by writing clean, testable, and reproducible code Contribute to the enhancement of open source dependencies (Optional) Publish papers and present research findings

Negotiation

Growth Marketing Lead

Ho Chi Minh - Viet Nam

Product

• Marketing

Leading growth strategy and execution for user acquisition, activation, and retention. Developing clear and consistent positioning and messaging around the product's mission of local, open intelligence. Managing the product's Discord and social media accounts, growing online engagement, and organizing in-person meetups in various locations. Creating and distributing product explainers, updates, and thought leadership content to build trust and awareness. Utilizing analytics tools to track funnels and optimize outcomes. Collaborating with founders, designers, and engineers to align growth with the product direction and user feedback.

Negotiation

Senior/ Lead Data Engineer (Data Platform / MLOps)

Ho Chi Minh, Ha Noi - Viet Nam

Information Technology & Services

You will be responsible for managing, designing, and enhancing data systems and workflows that drive key business decisions. The role is focused 75% on data engineering, involving the construction and optimization of data pipelines and architectures, and 25% on supporting data science initiatives through collaboration with data science teams for machine learning workflows and advanced analytics. You will leverage technologies like Python, Airflow, Kubernetes, and AWS to deliver high-quality data solutions. Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories, ensuring the timely and accurate delivery of data to stakeholders. Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments. Develop and optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency and meet business objectives. Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources, ensuring high performance, scalability, and cost-efficiency. Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows. Stay informed of industry best practices and emerging technologies in both data engineering and data science to propose optimizations and innovative solutions.

Negotiation