Do you enjoy building robust APIs and scalable pipelines to operationalize model evaluation?
Do you want to help product teams get fast, reliable feedback on their AI outputs through automation?
About our Team
Elsevier’s AI Evaluation team designs, builds, and operates NLP/LLM evaluation solutions used across multiple product lines. We partner with Product, Technology, Domain SMEs, and Governance to ensure our AI features are safe, effective, and continuously improving.
About the Role
As a Senior Machine Learning Engineer, you will build and maintain the infrastructure and APIs that power automated evaluation of AI products. You’ll ensure evaluations are scalable, reliable, and integrated into product development workflows, enabling product teams to quickly assess model outputs and iterate on their features.
Responsibilities
· API & platform development — Build and maintain evaluation APIs and backend services to run automated assessments.
· Pipeline orchestration — Develop scalable Python/SQL pipelines, integrate with CI/CD, and implement monitoring/logging for evaluation jobs.
· Infrastructure & reliability — Ensure reproducibility, version control, observability, and error handling across evaluation workflows.
· Collaboration — Work closely with fellow Data Scientists, SMEs, Product, and Engineering teams to operationalize metrics and evaluation processes.
· Automation & tooling — Support auto-assessments as first-pass evaluation and integration with downstream SME-evals.
Requirements
· Education/Experience: Master’s + 3 years, or Bachelor’s + 5 years, in CS, Data Engineering, Software Engineering, or related field; experience building production ML pipelines.
· Technical: Strong Python (FastAPI/Flask), SQL, cloud platforms (AWS /Azure / Databricks); orchestration frameworks (Airflow, Prefect, Dagster); containerization (Docker/K8s); CI/CD pipelines; logging and monitoring.
· Practices: Git, reproducibility, documentation; collaborative coding and design review.
· Communication: Ability to explain technical choices and results to non-technical stakeholders.
· Mindset: Ownership, bias-for-action, curiosity, and collaborative problem-solving.
Nice to have
· Experience with LLM/NLP evaluation pipelines or agentic systems.
· Familiarity with auto-assessment frameworks and multi-product evaluation scaling.
· Exposure to healthcare or regulated content doma
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.
Top Skills
What We Do
Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, and deliver better care.
Because informed decisions lead to better outcomes, Elsevier is a leader in information and analytics for customers across the global research and health ecosystems.
Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.
We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems.
