Are you an experienced developer with a ˜can do™ attitude and enthusiasm that inspires others?
Do you enjoy being part of a team that works with a diverse range of technology?
About the Team:
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.
The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).
About the Role:Join our team to help build state-of-the-art research tools. Our Data Science teams focus on extracting key information such as entities mentioned, sentiment analysis, data enrichments, predictive insights, and more to build best in class data and news streams relied on by our global customer base. This role leads multimodal model strategy (vision + language + layout) and multi‑agent collaboration (task decomposition, verification, conflict reconciliation, feedback loops) and plans future customized training and ongoing optimization of models.
Responsibilities
Pipelines & preprocessing: scalable cleaning, OCR / layout normalization, early quality gating.
Labeling + active learning loop: strategic sampling, quality scoring, continuous feedback integration.
Training & inference engineering: sample automation, feature generation, resource orchestration, reliability & monitoring.
Serving & optimization: multi‑model routing, caching / indexing, elastic scaling, performance & cost efficiency.
Bachelor’s or above in Computer Science, Software Engineering, Information Systems, Data Engineering or related.
3–6 years in data / platform or backend engineering; practical ML or multimodal data project exposure.
Strong experience with data modeling, batch / streaming processing, distributed systems fundamentals.
Experienced with data cleaning & format transformation; multimodal sample construction & efficient storage.
Strong understanding multimodal training data patterns: balancing, segmentation, structural tagging, negative samples & quality metrics.
Experienced observability: integrated logs / metrics / tracing closed loop. SQL, data warehousing, object storage, columnar & vector index structures.
Demonstrates robust Python experience (data processing, concurrency / async, performance profiling, packaging & environment isolation). Linux CLI & bash scripting: files / permissions / processes, network & IO diagnostics, automation and troubleshooting.
Experience with cloud-based data platforms (e.g., AWS, GCP, Azure) for large-scale machine learning workflows.
Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Airflow) for
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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.
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What We Do
LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world.
We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets, monitoring their brands and competition, and in mitigating business risk. We collaborate with universities to educate students, and we support nation-building with governments and courts by making laws accessible and strengthening legal infrastructures. We partner with leading global associations and customers to collect evidence against war criminals and provide tools to combat human trafficking.
LexisNexis Legal & Professional, which serves customers in more than 130 countries with 10,000 employees worldwide, is part of RELX Group, a global provider of information and analytics for professional and business customers across industries.
