Staff+ Forward Deployed Research Engineer – Ranking

What you'll do

• Build and deploy production ranking and recommendation models, pipelines, retrieval systems, and low-latency serving infrastructure.
• Own end-to-end ML lifecycles, including monitoring, A/B testing, regression detection, and retraining.
• Partner with enterprise customers and turn repeatable deployment patterns into product and engineering improvements.

What they ask for

• 7+ years of experience as an ML Engineer, Applied Scientist, or Forward Deployed Engineer, focused on deep learning for search, recommendation, or retrieval.
• Deep proficiency in PyTorch, deep learning theory, and machine learning algorithms, especially multi-stage scoring and embedding models.
• Hands-on experience building and optimizing large-scale distributed data pipelines using Spark, Airflow, and dbt across GCP and AWS.
• Experience with Kubernetes, Airflow, Terraform, and cloud platforms such as AWS and GCP.

Nice to have

• Personalization deployment experience in retail, travel, or media/entertainment.
• Peer-reviewed publications or registered patents in search, matching, or personalization.

Pay

$300K – $350K (base salary)

Tools

PyTorch, Spark, Airflow, dbt, GCP, AWS, Kubernetes, Terraform

AI focus

Develop and deploy deep-learning ranking, recommendation, embedding, and retrieval systems, including multi-stage retrieval, learning-to-rank, and large-scale personalization.