Staff Engineer

 

Work Your Magic with us! Start your next chapter and join MilliporeSigma.

 

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.  

 

This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US. 

 

Your Role:

Our Digital and eCommerce division is looking to transform the Digital and eCommerce technology engine for MilliporeSigma.  As a Staff Software Engineer Search, you will play pivotal role in driving the next generation of intelligent, high-performing search experiences for our global eCommerce platforms (e.g., sigmaaldrich.com and sigmaaldrich.cn) and build new features and components in our evolving platform, helping to embrace modern principles like microservices and event driven architectures.   

 

You will be responsible for optimizing search relevance, tuning search engine behavior, and applying advanced AI/ML techniques to elevate how users discover and interact with products. You’ll work closely with Product Owner, Data Scientists, and Software Engineers to deliver seamless and personalized search experiences that directly impact business outcomes. 

 

About Our Technology

The Digital and eCommerce team currently operates several B2B websites and direct digital sales channels via a globally deployed cloud-based platform that are a growth engine for MilliporeSigma's Life Science business.  We provide a comprehensive catalog of all products, enabling our customers to find products and purchase products as well as get detailed scientific information on those products. 

  

Essential Job Functions:

• • 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 owner, 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. 
  • Documentation: Maintain clear documentation of search algorithms, tuning strategies, and system configurations for internal teams. 

 

Location:

The Staff Engineer can be located from either our Burlington, MA or St. Louis, MO facility. We do promote a hybrid flexible work schedule, supporting 2-3 days in office.

 

Who You Are

 

Minimum Qualifications: 

• • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative field.  
  • At least 8 years of hands-on in search relevance, Search Query Optimization and software engineering experience for eCommerce websites
  • Proven experience with at least one major search engine preferably Elasticsearch( or any Lucene based search engine such as Solr or OpenSearch) 
  • Experience in Lexical search using algorithms like BM25, Semantic Search

 

Preferred Qualifications: 

• • Deep understanding of search relevance tuning, search query optimization, ranking, tokenization, stemming, and query parsing 
  • Experience building or integrating RAG-based architectures for LLM-assisted search use cases. 
  • Experi