Staff+ Forward Deployed Research Engineer – Ranking
Sequen AIPersonalization & company
United States$300,000 - $350,000Lead
Greycroft
White Star Capital
Threshold Ventures
Correlation Ventures
Vinyl Capital
Data & AI
About the role
TL;DR
Design, develop, and scale ranking, embedding, and retrieval systems.
- •We're looking for a Staff+ Forward Deployed Research Engineer with deep expertise in search and recommendation modeling to help us design, develop, and scale innovative ranking, embedding, and retrieval systems that power our personalized discovery platform.
- •Key Responsibilities Deploy production models: Work directly within customer environments to design, build, and deploy production ranking and recommendation models that directly optimize for business conversion, engagement, and lifetime value.
- •Deliver technical artifacts: Engineer end-to-end ranking pipelines, embedding generation schemas, nearest-neighbor retrieval systems, and low-latency model serving infrastructure.
- •Provide white-glove partnership: Deliver high-touch deployment support inside large consumer enterprise environments, ensuring seamless integration with existing data ecosystems and business logic.
- •Requirements Proven track record: Bring 7+ years of experience as an ML Engineer, Applied Scientist, or Forward Deployed Engineer with a heavy focus on deep learning for search, recommendation, or retrieval systems.
- •Model building mastery: Possess deep proficiency in PyTorch, deep learning theory, and machine learning algorithms (specifically multi-stage scoring and embedding models).
- •Data pipeline proficiency: Demonstrate hands-on experience designing and optimizing large-scale, distributed data pipelines using Spark, Airflow, and dbt across GCP and AWS environments.
Required skills
PyTorchSparkAirflowdbtKubernetesAWSGoogle Cloud
Domain expertise
retailtravel
Benefits & perks
equity, health insurance, remote work
Tech stack
PyTorchSparkAirflowdbtKubernetesAWSGoogle Cloud
