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Senior Search Engineer

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Location:
United States , San Francisco

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Contract Type:
Not provided

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Salary:

156000.00 - 234000.00 USD / Year

Job Description:

Help design and implement our next generation of search and retrieval systems, machine learning technologies, and generative AI-based applications. You will collaborate with an accomplished and motivated team of individuals to deliver high-impact solutions for our users and our business.

Job Responsibility:

  • Lead the design, development, and maintenance of cutting-edge search and retrieval, recommendation, and personalization solutions to deliver new customer-facing experiences
  • Incorporate AI-based technologies where appropriate, including prompt engineering, model fine tuning, and agent-based application enhancements, collaborating closely with product managers and stakeholders
  • Develop and deploy robust, fault tolerant, high-throughput services, emphasizing reliability, scalability, observability, and low-latency performance
  • Lead initiatives to optimize the performance and quality of ML and AI-based systems using new or established metrics
  • Support operational excellence by participating in initiatives to streamline AI and ML workflows and establish standardized procedures to ensure consistent and high-quality outcomes across our projects and systems
  • Collaborate closely with AI/ML engineers and cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to foster a culture of collaboration, scientific inquiry, and continuous learning
  • Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems

Requirements:

  • 4+ years of hands-on experience in AI, machine learning, data science, or related fields, with a strong emphasis on practical engineering applications and deploying robust solutions into production environments
  • Extensive experience with search and retrieval systems and recommender systems, preferably including retrieval-augmented generation (RAG) and developing agent-based applications that use search and retrieval systems as tools
  • Experience designing, developing, and deploying end-to-end AI and machine learning systems, including data pipelines, model training and serving, and monitoring solutions
  • Demonstrated ability to guide projects and foster a collaborative and high-performing work environment
  • Ability to break down complex projects, effectively scope and sequence work, and manage timelines
  • Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders
  • Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred

Nice to have:

A sense of humor is optional but appreciated

What we offer:
  • Competitive pay and comprehensive healthcare benefits
  • Financial assistance for things like hybrid work, family planning
  • Generous parental leave
  • Flexible time-off policies
  • Mental health and wellness resources
  • Learning, development, and recognition programs
  • Commitment to DEI through ongoing initiatives and employee resource groups
  • Community engagement through volunteering program
  • Equity

Additional Information:

Job Posted:
January 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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