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Full Stack Developer - Detillens
Joining an established technology function, you will play a key role in enhancing and modernising business-critical finance and reporting platforms. You'll work closely with stakeholders across finance and technology…
Investigations Engineer - Hardware IP
Investigates and reverse-engineers hardware and software systems for legal and business disputes, such as patent litigation or trade secrets, using programming, electrical engineering, and embedded systems expertise.
Staff Applied ML Software Engineer, Recommendations, YouTube
Staff-level ML engineer on YouTube's recommendation systems team: leads the design and implementation of retrieval/ranking recommendation models, optimizes ML infrastructure and model architecture, and provides technical leadership across teams. Requires deep ML expertise at large scale.
Staff Machine Learning Infrastructure Engineer
Build and scale the distributed GPU training infrastructure and MLOps platform that powers Atoms’ autonomous transport models, using Kubernetes, Ray, and MLflow.


Staff Machine Learning Infrastructure Engineer
Build and scale distributed GPU training infrastructure for autonomous transport models using Kubernetes, MLOps tools, and high-throughput data pipelines.
Cloud Architect
Designs and optimizes cloud-based data architectures (Lakehouse/Medallion) using Databricks, Spark, and cloud-native tools to build scalable, secure, and cost-efficient data pipelines for global enterprises.
Data Engineer
On-site Data Engineer in Manila who designs and maintains scalable batch and streaming data pipelines with Databricks and Apache Spark, implements ETL/ELT, optimizes SQL and Snowflake schemas, and manages access controls via Unity Catalog. Requires 2+ years of hands-on Databricks experience.
Data Scientist (all genders)
The Data Scientist will develop and deploy machine learning, Generative AI, and Agentic AI solutions to optimize the company's e-commerce platform. The role involves end-to-end project ownership, utilizing a tech stack including Python, SQL, Databricks, and AWS to drive business insights.
