Must be located in Raleigh, NC or willing to relocate to Raleigh, NC
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: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?
This position performs complex research and data engineering assignments within an engineering functional area or product line, and provides direct input to project plans, schedules, and methodology in the development of cross-functional products. This position performs date engineering design - typically across multiple systems; mentors more junior members of the team; and talks to users/customers and translates their requests into solutions.
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.
5+ years of experience 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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LexisNexis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about LexisNexis and has not been reviewed or approved by LexisNexis.
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Healthcare Strength — Healthcare options are often described as comprehensive, spanning medical, dental, and vision coverage alongside life and disability protection. Wellbeing programming such as wellness initiatives and fitness support is also positioned as part of the overall package.
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Retirement Support — Retirement benefits are repeatedly framed as a meaningful component of total rewards through 401(k) matching and access to stock purchase opportunities. Performance bonuses and charitable matching are also included as financial-support features within the broader rewards mix.
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Leave & Time Off Breadth — Time-off offerings are portrayed as broad, including PTO, paid holidays, sick leave, and paid volunteer time. Flexible work arrangements, including remote options and flexible hours, further strengthen the overall rewards experience.
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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.
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