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Sequen AI

Senior Research Engineer – Search & Recommendation Ranking

Posted Yesterday
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Remote
Hiring Remotely in United States
280K-350K Annually
Senior level
Remote
Hiring Remotely in United States
280K-350K Annually
Senior level
The Senior Research Engineer will design, develop, and scale innovative ranking and retrieval models for search and recommendations, while optimizing data pipelines and infrastructure.
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About Us
Sequen AI is leading the charge for building frontier ranking models for search and recommendations. Sequen AI's technology specializes in designing end-user behavior for large consumer enterprises.

The Role
We’re looking for a Senior Research Engineer with expertise in search and recommendation modeling to help us design, develop, and scale innovative ranking, embedding and retrieval models that power our personalized discovery platform. In this role, you’ll have the opportunity to work on impactful projects, from enhancing recommendation ranking systems to building search retrieval models, all while contributing to the underlying data pipelines and infrastructure.

This is an ideal role for someone eager to grow their skills, take ownership of complex systems, and be part of an agile, fast-paced environment.

What You'll Do

  • Develop & Optimize Ranking Models: Build, train, and deploy advanced search and recommendation models using Deep Learning techniques.

  • Data Engineering: Design and implement data pipelines to process large-scale datasets, ensuring models are fed with high-quality, reliable data.

  • Infrastructure: Work with tools like Kubernetes, Airflow, and AWS to manage scalable model deployment and experimentation environments.

What We’re Looking For

  • Experience: 5+ years of experience as an ML Engineer or similar role, with a focus on deep learning for search, recommendation, or related applications.

  • Technical Expertise: Proficient in PyTorch, Deep Learning, and Spark, with a strong foundation in machine learning theory and algorithms.

  • Data Engineering Skills: Hands-on experience with data pipelines and processing large-scale datasets. You'll design and optimize data pipelines using tools like Spark, Airflow, and dbt across GCP and AWS.

  • Infrastructure Knowledge: Some familiarity with tools such as Kubernetes, Airflow, Terraform and cloud platforms like AWS for deployment and scalability.

  • Problem Solver: Strong analytical and critical thinking skills, with a passion for tackling open-ended challenges.

What We Offer

  • A collaborative and innovative work environment at the forefront of ML and AI.

  • Opportunities to make a direct impact on product and technology direction.

  • Annual Salary : $280,000—$350,000 USD (based on experience) + Equity

  • Health insurance, unlimited time off, awesome team

If you’re excited about building next-generation search and recommendation systems and growing your expertise in a dynamic startup, we’d love to hear from you!

Top Skills

Airflow
AWS
Deep Learning
GCP
Kubernetes
PyTorch
Spark
Terraform

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