Staff Forward Deployed Research Engineer – Ranking

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Sequen

WebsiteLinkedInAll Job Openings

11 - 50 employees

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

SaaS • Artificial Intelligence • B2B

Sequen is a platform company that provides real-time, in-session personalization and dynamic re-ranking infrastructure for consumer applications. The Sequen Ranking Platform combines ultra-low-latency runtime (advertised sub-20ms p99) with frontier AI techniques — including Large Event Models (LEMs), continual learning on dynamic user embeddings at inference, and multi-horizon optimization — to power adaptive product discovery, recommendations, search results and ad optimization. Sequen positions itself as a B2B SaaS provider for consumer-facing companies that want to drive higher conversion and better outcomes by using in-session signals and behavior to personalize each user’s experience.

📋 Description

• 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. • Architect data pipelines: Design and maintain production-grade, highly optimized data pipelines to process massive datasets, ensuring models are continuously fed with fresh, reliable training and inference features. • Codify repeatable patterns: Identify and modularize repeatable deployment patterns across various industry verticals, contributing key insights back to Sequen's core product and engineering teams. • Own production lifecycles: Manage the entire ML lifecycle end-to-end, including model monitoring, A/B testing frameworks, performance regression detection, and continuous retraining strategies. • Drive research frontiers: Maintain deep, active expertise in the latest developments in deep learning, including multi-stage retrieval, learning-to-rank, and large-scale personalization techniques. • Uncover organic expansion: Build strong relationships with client engineering teams and proactively identify new opportunities to deploy ranking solutions that unlock additional customer value. • Champion Sequen's mission: Act as a technical representative of Sequen AI's vision to shape end-user behavior for the world's largest consumer platforms.

🎯 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. • Cloud & infra maturity: Operate comfortably with Kubernetes, Airflow, Terraform, and cloud platforms like AWS and GCP to manage scalable model deployment and experimentation environments. • Analytical problem solver: Excel at tackling open-ended, highly complex systems challenges that require first-principles thinking. • Extreme ownership mindset: Take absolute accountability for driving customer outcomes from early prototyping and training to live production inference.

🏖️ Benefits

• Highly competitive base salary ranging from $300,000 to $350,000 USD • Meaningful early-employee equity • Performance bonuses • Comprehensive premium health benefits • Unlimited paid time off • Flexible hybrid/remote configurations • Highly collaborative, world-class engineering culture