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Position: eCommerce Staff Engineers
Employer: Sigma-Aldrich Corporation
400 Summit Drive
Burlington, Massachusetts 01803
Job Site: 400 Summit Drive
Burlington, Massachusetts 01803
Telecommuting: Telecommuting is available.
Travel Requirement: One domestic trip per year lasting two to three days.
Responsibilities:
Search Relevance Optimization: Analyze and enhance search relevance algorithms to ensure accurate and relevant search results for users; Search Query Optimization: Implement and manage search query optimization strategies to optimize search results based on user behavior and business objectives; Search Engine Management: Oversee the configuration and performance of search engines, ensuring they meet the evolving needs of the eCommerce platform; AI/ML Integration: Leverage AI and machine learning technologies to develop and implement advanced search functionalities, including personalized search results and predictive search capabilities collaboration: Work closely with product owners, data scientists, and software engineers to define and implement search-related features and improvements; Performance Monitoring: Monitor search performance metrics and user feedback to identify areas for enhancement and implement data-driven solutions; Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively; Communication: Strong verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders; Technology & Programming Skills: Well versed with latest technology stack like Elasticsearch, Big Query, Python, NodeJS etc; and Documentation: Maintain clear documentation of search algorithms, tuning strategies, and system configurations for internal teams.
Requirements & Qualifications:
Employer requires a master's degree in Computer Science, Engineering, Data Science, or a related quantitative field and eight (8) years of work experience in any occupation working with software engineering in search relevance and search query optimization for eCommerce websites. In addition, the employer requires the following: (1) Demonstrated knowledge of Elasticsearch gained through four years of work experience; (2) Demonstrated ability building or integrating RAG-based architectures for LLM-assisted search use cases gained through completion of at least one project; (3) Demonstrated ability architecting search systems, including Lexical search, using algorithms such as BM25, and hybrid integration for Semantic search gained through at least four years of work experience; (4) Demonstrated knowledge of SQL and NoSQL gained through at least four years of work experience; and (5) Demonstrated knowledge of AI tools such as Python and ML frameworks such as TensorFlow, PyTorch or Scikit-learn gained through at least two years of work experience. All years of experience and project completion may be gained concurrently.
This position is eligible for Sigma-Aldrich Corporation's Employee Referral Program.
Applicants can send resumes to Sigma-Aldrich Corporation, 400 Summit Drive, Burlington, Massachusetts 01803 (Attn: Req#304216) or apply online at ;/strong>
Salary Range: $ One hundred eighty-six thousand and one hundred sixty dollars per year to two hundred sixteen thousand and one hundred sixty dollars per year.
Compensation is based on experience, location, and other factors. We offer generous benefits packages: ;/strong>
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90978058
- Position Id: 91be3b31a5cdb6f9d222f3e42ddd02dc
- Posted 2 hours ago
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