Staff Engineer (Remote Flexible) at Sigma-Aldrich Corporation

St. Louis, Missouri, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Dec, 25

Salary

171000.0

Posted On

22 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Search Relevance Optimization, Search Query Optimization, Search Engine Management, AI/ML Integration, Collaboration, Performance Monitoring, Problem-Solving, Communication, Documentation, Python, Java, Microservices, Cloud Environments, SQL, NoSQL, DevOps

Industry

Biotechnology Research

Description

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 locations or can be remote flexible. 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. Experience with MLOps practices and tools. Proven experience in Python and experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Recent experience in Java, Kotlin, Spring, Spring Boot is a plus Mentor and guide engineers across the team, promoting a culture of engineering excellence and experimentation. Ability to provide solutions based on business requirements. Ability to collaborate with cross-functional teams. Ability to work with global teams and a flexible work schedule. Must have excellent problem-solving skills and be customer centric. Excellent communication skills. Experience with Microservices, CI/CD, Event Oriented Architectures and Distributed Systems Experience with cloud environments (e.g., Google Cloud Platform, Azure, Amazon Web Services) Experience leading product-oriented engineering development teams is a plus Familiarity with DevOps practices/principles, Agile/Scrum methodologies, CI/CD pipelines and the product development lifecycle Strong background in SQL and NoSQL databases Familiarity with modern web APIs and full stack frameworks is a plus. Experience with Java, Google Analytics, BigQuery, Cassandra, Docker, Kubernetes, Kafka, in memory caching are a plus Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy, Spark) is a plus. Pay Range for this position: $114,000 – $171,000 Our ranges are derived from several sources, and largely reliant on relevant industry market data. Should we decide to make an offer, we will consider several factors, including but not limited to your location, skills, experience, career level, and other job-related factors. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k)-matching program; paid time off; and paid holidays; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses. 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!

Responsibilities

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.