Software Engineer, AI/ML

Overview:

Join Waters and Lead the Future of Digital Innovation in Life Sciences

Are you passionate about bringing the power of AI to life in ways that transform how scientists discover, analyze, and innovate? Waters is seeking an AI / ML Engineer to help shape the next generation of intelligent digital experiences that support our customers across life sciences, chemistry, and analytical research.

You'll be part of a fast-moving team within Digital, building and evaluating large language model (LLM) systems that power smarter product search, knowledge discovery, and scientific support. This role is perfect for an early-career engineer eager to apply cutting-edge AI and machine learning tools to solve real-world problems that impact global scientific progress

If you're excited by impactful work at global scale, let's talk.

About the role:

Are you passionate about bringing the power of AI to life in ways that transform how scientists discover, analyze, and innovate? Waters is seeking an AI / ML Engineer to help shape the next generation of intelligent digital experiences that support our customers across life sciences, chemistry, and analytical research.

You'll be part of a fast-moving team within Digital Experience Engineering, building and evaluating large language model (LLM) systems that power smarter product search, knowledge discovery, and scientific support. This role is perfect for an early-career engineer eager to apply cutting-edge AI and machine learning tools to solve real-world problems that impact global scientific progress.

What You'll Do:

• Build and optimize AI/ML pipelines and evaluation systems for large language models used in product search and knowledge applications.
• Develop evaluation frameworks and dashboards to measure model accuracy, latency, and user experience improvements.
• Collaborate with data engineers and product teams to preprocess, label, and integrate large datasets into AI workflows.
• Contribute to prompt tuning, accuracy testing, and continuous improvement of LLM-driven digital experiences.

Technologies:

AWS (Bedrock, Lambda, ECS, S3, OpenSearch), Python (LangChain, Hugging Face, RAGAS, PyTorch, TensorFlow), REST APIs, JSON, SQL, CI/CD (GitHub Actions), Data Visualization (Matplotlib, Plotly), LLM Evaluation (Cohere Rerank, Claude, Amazon Nova), CloudWatch, Atlassian Suite (Jira, Confluence), Sourcegraph Cody AI

Responsibilities:

Technical Development & Implementation

• Design, build, and deploy machine learning models using frameworks like TensorFlow, PyTorch, or Hugging Face.
• Support the creation of LLM evaluation pipelines for retrieval-augmented generation (RAG) systems, automating guardrail and accuracy testing across multiple dimensions.
• Assist in data preprocessing, retrieval optimization, and performance tuning using OpenSearch, S3, and AWS Bedrock.
• Develop proof-of-concept generative AI applications such as chatbots, recommendation systems, and intelligent content generation tools.

Data Engineering & Model Evaluation

• Work with large datasets to clean, preprocess, and analyze data for AI model development and evaluation.
• Generate and validate synthetic datasets using large language models (Claude, Amazon Nova, GPT) to accelerate testing and reduce manual SME review time.
• Contribute to prompt engineering, model testing, and performance analysis to ensure accuracy, reliability, and compliance in life sciences and healthcare contexts.

Collaboration & Delivery

• Collaborate with stakeholders and product teams to identify AI/ML opportunities that address key business challenges.
• Participate in sprint planning, debugging, and internal demos to communicate progress, findings, and recommendations.
• Document reusable AI components, reference architectures, and best practices to support continuous learning across teams.

Governance & Continuous Improvement

• Ensure adherence to AI governance, ethical AI, and data compliance standards (PCI, GDPR, CCPA).
• Stay up to date on advancements in AI/ML tools, frameworks, and evaluation methods; share insights and drive adoption across teams.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or related field with focus on AI/ML development.
• Hands-on experience with Python and libraries such as LangChain, Hugging Face, RAGAS, or similar for model evaluation or data processing.
• Familiarity with retrieval and ranking systems (OpenSearch, S3, AWS Bedrock) and LLM-based frameworks.
• Exposure to synthetic data generation and LLM evaluation metrics (e.g., relevance, context completeness, factual accuracy).
• Understanding of cloud-based AI workflows using AWS Bedrock, Lambda, or ECS.
• Strong analytical and problem-solving skills with the ability to learn quickly and apply feedback in iterative development cycles.
• Comfortable working with cross-functional teams and presenting project outcomes to non-technical audiences.

Company Description:

Waters Corporation (NYSE:WAT) is a global leader in analytical instruments, separations technologies, and software, serving the life, materials, food, and environmental sciences for over 65 years. Our Company helps ensure the efficacy of medicines, the safety of food and the purity of water, and the quality and sustainability of products used every day. In over 100 countries, our 7,600+ passionate employees collaborate with customers in laboratories, manufacturing sites, and hospitals to accelerate the benefits of pioneering science.

Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.