3 months ago
Boston, MA, USAMid Level / Senior
H1B Sponsor
Responsibilities
- Act as the technical owner for enterprise customer engagements involving recommendation and ranking workloads.
- Translate customer requirements into concrete specifications for recommendation models.
- Design and execute data pipelines for user interaction data, feature engineering, and training data curation at scale.
- Fine-tune and adapt large-scale sequential recommendation models for customer-specific use cases.
- Design task-specific evaluations for recommendation model performance and interpret results.
- Build reusable applied tooling and workflows that accelerate future customer engagements.
Requirements
- Hands-on experience building or fine-tuning recommendation models at scale.
- Experience with sequential recommendation architectures, user behavior modeling, or large-scale ranking systems.
- Strong intuition for data quality and evaluation design in recommendation contexts.
- Experience with large-scale data pipelines for user interaction data and feature engineering.
- Proficiency in Python and PyTorch with autonomous coding and debugging ability.
Benefits
- Competitive base salary with equity in a unicorn-stage company.
- 100% coverage of medical, dental, and vision premiums for employees and dependents.
- 401(k) matching up to 4% of base pay.
- Unlimited PTO plus company-wide Refill Days throughout the year.