Search Relevance ML Engineer/Data Scientist - Lead

Job Title: Search Relevance ML Engineer/Data Scientist - Lead

Location: San Francisco, CA (Hybrid/Remote options available)

Job Category: Software Engineering

About the Role: We are seeking an experienced and highly skilled Search Relevance ML Engineer/Data Scientist - Lead to join our Search Relevance team. The ideal candidate will have a strong background in Machine Learning, Information Retrieval, Natural Language Processing (NLP), and AI-driven search technologies. You will play a key role in developing and optimizing search relevance features to enhance the user experience across our platform, ensuring users receive the most accurate and contextually relevant search results.

Responsibilities:

• Design, develop, and deploy large-scale, production-grade search relevance models to enhance the quality and effectiveness of search experiences.
• Develop and implement techniques to improve relevance ranking, personalization, and query understanding.
• Analyze user behavior and search interaction patterns to identify opportunities for improving search relevance.
• Conduct A/B testing and performance evaluation to measure the impact of new features and iterate based on data-driven insights.
• Collaborate closely with cross-functional teams, including engineering, product, UX, and data science, to create scalable search solutions.
• Implement AI-driven search solutions, leveraging Large Language Models (LLMs), Learning to Rank (LTR), and Retrieval-Augmented Generation (RAG).
• Work with large-scale structured and unstructured data to enhance search algorithms.
• Build efficient pipelines for data processing, feature extraction, and model training using modern ML frameworks.

Required Skills & Qualifications:

• 8+ years of hands-on experience in Machine Learning, Search Relevance, AI, NLP, and Recommendation Systems.
• Strong proficiency in Python and Java for machine learning model development and productionization.
• Expertise in ML frameworks such as TensorFlow, PyTorch.
• Hands-on experience with cloud-based AI solutions (AWS SageMaker, Amazon Bedrock, GCP AI, or Azure ML).
• Deep understanding of search ranking, indexing, query understanding, and information retrieval techniques.
• Experience in A/B testing, experiment design, and metric definition to evaluate model performance.
• Strong knowledge of Object-Oriented Design, Algorithms, and Data Structures.
• Experience deploying LLM-based applications and fine-tuning models for enterprise-scale solutions.
• Excellent problem-solving, communication, and collaboration skills.

Preferred Skills:

• Master’s or PhD in Computer Science, Machine Learning, Data Science, or a related field.
• Experience with search platforms such as Elasticsearch, Solr, Lucene.
• Familiarity with Hadoop, Spark, Hive, or Pig for large-scale data processing.
• Experience working in Agile development environments with Test-Driven Development (TDD).
• Understanding of usability and UX principles for search experiences.
• Prior experience building SaaS applications with AI-driven search capabilities.

Compensation & Benefits:

• Competitive salary range: $200,800 - $276,100 (CA-based roles)
• Performance-based incentive compensation, equity, and benefits
• Health, dental, and vision insurance
• 401(k) with company matching
• Professional development opportunities
• Hybrid/Remote work flexibility

Join us in shaping the future of search relevance with cutting-edge AI and ML-driven solutions! Apply today to be part of a dynamic and innovative team.

Apply Here