Machine Learning Engineer

Role overview Build and operate data systems that turn large collections of video and multimodal content into curated, training-ready datasets. You’ll own the pipeline from ingestion through processing and selection, working with curation and modeling teams to improve dataset quality, reproducibility, throughput, and cost efficiency. The role is listed as full-time and remote, with Singapore as its location.

Responsibilities - Design distributed pipelines for preprocessing, dataset creation, and recurring refreshes. - Orchestrate processing jobs, including scheduling, monitoring, and recovery from failures. - Maintain containerized pipeline infrastructure and optimize cloud storage and data movement. - Establish practices for dataset layout, versioning, caching, retention, and access. - Build curation workflows for selecting video and image data, including image-text pairs; apply captioning, metadata generation, quality scoring, semantic filtering, and deduplication approaches. - Analyze dataset composition and refine selection logic to address quality issues and support model training.

Requirements - Practical experience building distributed data pipelines for large-scale media or multimodal datasets. - Proficiency in Python and experience with tools such as PySpark or Ray, plus workflow orchestration systems such as Airflow or equivalents. - Familiarity with Docker and Kubernetes or comparable container orchestration systems. - Experience with cloud storage and compute on AWS, Google Cloud Storage, and/or Azure, including cost, throughput, and access-pattern tradeoffs. - Experience with VLM captioning or image/video quality scoring, and familiarity with CLIP or embedding-based filtering. - Familiarity with media processing tools such as FFmpeg, PyAV, DALI, or OpenCV, and strong problem-solving, communication, and documentation skills.

Benefits and work setup - Remote, full-time position associated with Singapore. - Paid time off and holidays, health and international travel insurance. - Monthly spending stipend and equipment for a home office. - Competitive salary and equity are mentioned, with no specific amounts provided.