Shipt is looking to build cutting-edge machine learning and AI-powered search capabilities to create seamless, intuitive, and personalized experiences for customers, directly impacting business growth.
Requirements
- Proven expertise in search: At least 5 years of experience working on search, information retrieval, or related domains.
- Hands-on LLM experience: Practical experience applying large language models (LLMs) to real-world problems such as semantic search, query rewriting etc.
- Strong background in machine learning, natural language processing, information retrieval, and modern AI/ML techniques.
- Ability to engage deeply with the team on technical decisions.
Responsibilities
- Develop and deploy AI-driven search algorithms, including query understanding, ranking models, personalization, semantic search, and LLM-powered search experiences.
- Establish best practices for experimentation and measurement of search relevance and customer satisfaction.
- Drive innovation while ensuring scalability, reliability, and performance of search systems.
- Define and drive the vision and strategy for search.
- Partner closely with Product, Engineering, and Design to define search product requirements and translate them into robust data science and machine learning solutions.
- Lead and grow a high-performing team of data scientists and ML engineers, providing mentorship, technical guidance, and career development.
- Communicate vision, strategy, and progress to executive leadership and stakeholders.
Other
- Leadership experience: Track record of managing and growing high-performing teams of data scientists or ML engineers.
- Cross-functional collaboration: Excellent ability to partner with Product, Engineering, and Design to define and deliver customer-focused solutions.
- Superb communication skills: Comfortable presenting complex technical ideas to executives, peers, and cross-functional partners in a clear and compelling way.
- Hybrid work arrangement: Flexibility to work from home or at a Shipt office in Birmingham, San Francisco, or Minneapolis.
- Advanced degree (MS or PhD) in Computer Science, Engineering, or related field preferred.
