About The Position

This role offers the opportunity to shape the core recommendation and search systems that power personalized styling experiences. You will be responsible for the full lifecycle of algorithmic solutions, from research and model development to deployment and optimization, directly influencing how stylists engage with inventory and deliver value to millions of clients. The position combines cutting-edge machine learning, agentic AI workflows, and business logic development to drive impactful, data-driven decisions. You will collaborate closely with product, engineering, and design teams, while maintaining ownership of experiments, feature development, and production deployment. Success in this role requires a balance of technical expertise, strategic thinking, and a strong understanding of human-in-the-loop systems. The environment encourages creativity, experimentation, and continuous learning, with a focus on client-centered solutions.

Requirements

  • 3+ years of experience leveraging data science to develop customer-focused solutions, with a focus on recommendation or search systems.
  • Strong proficiency in Python and SQL for handling large-scale datasets.
  • Experience in deploying machine learning models and building data-driven applications.
  • Solid understanding of A/B testing methodologies and the ability to balance algorithmic metrics with business metrics.
  • Degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.
  • Strong communication skills and ability to work effectively with business partners and cross-functional teams.
  • Collaborative mindset, growth-oriented, and comfortable experimenting with new techniques and technologies.
  • Ability to manage projects end-to-end, from research to deployment, with attention to quality and business impact.

Responsibilities

  • Develop and deploy recommendation and search engine models that guide stylists in selecting inventory and delivering client experiences.
  • Manage the full lifecycle of algorithmic solutions, including feature engineering, ranking logic, hyperparameter optimization, and business logic implementation.
  • Prototype and deploy agentic AI workflows to assist stylists in real time.
  • Conduct experiments and analyze results to evaluate feature performance, communicating insights to stakeholders and leadership.
  • Collaborate cross-functionally with product, engineering, and design teams to roadmap new features and improvements.
  • Leverage historical and real-time client and inventory data to drive evidence-based decision making and business impact.
  • Ensure system reliability, scalability, and maintainability while adopting best practices in full-stack machine learning development.

Benefits

  • Competitive salary and equity, aligned with geographic location and experience.
  • Eligibility for annual bonuses and restricted stock unit grants.
  • Comprehensive health, dental, and vision coverage.
  • Flexible, remote-friendly work environment with collaborative team culture.
  • Opportunities to work on cutting-edge machine learning and AI applications in a data-rich, creative environment.
  • Professional growth and development opportunities with access to mentorship and cross-functional collaboration.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service