Staff+ Forward Deployed Research Engineer – Ranking
Sequen AI · Remote · United States ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Staff+ level role
- Search & Recommendations
- PyTorch + Kubernetes
- Hybrid or Remote
- $300k-$350k USD
Sequen provides an integrated platform combining frontier ranking models with enterprise-scale infrastructure. The team helps major retailers and marketplaces personalize user experiences, turning algorithmic optimizations into significant revenue lifts.
As a Staff+ Forward Deployed Research Engineer, you will design and scale ranking, embedding, and retrieval systems. You will work at the intersection of AI research and production software, taking end-to-end ownership of complex ML lifecycles within client environments.
What you'll do
- Design and deploy production ranking models to optimize business conversion
- Engineer end-to-end ranking pipelines and low-latency serving infrastructure
- Provide high-touch deployment support within large enterprise environments
- Architect optimized data pipelines for massive datasets and fresh features
- Manage full ML lifecycle including monitoring, A/B testing, and retraining
- Identify modular deployment patterns to improve core product capabilities
- Build relationships with client teams to uncover new technical opportunities
What you'll need
- 7+ years experience in ML Engineering or Applied Science roles
- Deep expertise in deep learning for search, recommendation, or retrieval
- Proficiency in PyTorch, multi-stage scoring, and embedding models
- Experience designing distributed data pipelines with Spark, Airflow, and dbt
- Comfortable operating with Kubernetes, Terraform, AWS, and GCP
- Ability to solve open-ended systems challenges with first-principles thinking
- Strong sense of ownership from prototyping to live production inference
Nice to have
- Experience in retail, travel, or media personalization systems
- Familiarity with usage-based or value-based commercial pricing models
- Peer-reviewed publications or patents in search and personalization
- Experience supporting product-led narratives in enterprise sales cycles
Stack
- PyTorch
- Spark
- Airflow
- dbt
- Kubernetes
- Terraform
- AWS
- GCP
How you'll work
- Flexible hybrid or remote configuration available
- Unlimited paid time off policy
- Collaborative engineering culture
What you get
- Base salary between $300,000 and $350,000 USD
- Meaningful early-employee equity package
- Performance bonuses included
- Comprehensive premium health benefits