About
About the Business:
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. 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: This position performs
software development and applied machine learning
assignments within a defined functional area or product line. The role
contributes to the design, implementation, training, evaluation, and deployment of machine learning models and supporting data pipelines
under the guidance of senior engineers. This position collaborates closely with cross-functional teams, including software engineers, data engineers, and product partners, to translate well-defined business or research requirements into machine learning solutions. The role
focuses on building, testing, and improving ML components within existing systems while continuing to develop technical depth and best practices. *****Conditions of Employment - Ability to work a Hybrid schedule reporting to Raleigh, NC Office location************* ⸻ Requirements: • 1 - 3+ years experience in Machine Learning Engineering, Data Science, or Software Engineering with a
strong ML focus • BS in Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience ⸻ TECHNICAL SKILLS: • Working knowledge of machine learning fundamentals, including supervised and unsupervised learning techniques • Proficiency in at least one programming language commonly used in ML development (e.g., Python, Java, or Scala) • Experience with common ML libraries and frameworks (e.g., PyTorch, TensorFlow, scikit-learn) • Familiarity with data manipulation, feature engineering, and data validation techniques • Basic understanding of data modeling concepts and data storage systems (e.g., relational databases, data lakes) • Experience working with SQL and/or other data query languages • Familiarity with software development methodologies such as Agile • Understanding of ML model evaluation, experimentation, and performance metrics • Exposure to ML lifecycle practices including model training, testing, versioning, and deployment • Ability to read, understand, and contribute to technical design documents • Ability to debug and resolve moderately complex issues in ML pipelines or model behavior • Good oral and written communication skills • Willingness to learn new tools, technologies, and ML best practices ⸻ Responsibilities: • Collaborate with software engineers, data engineers, and product stakeholders to understand requirements and contribute to ML solutions • Implement machine learning models, data preprocessing pipelines, and evaluation workflows under established designs • Write and maintain clean, well-tested, and well-documented code following team standards • Assist in debugging, tuning, and improving model performance and data quality issues • Participate in code reviews and apply feedback to improve code quality and ML practices • Operate within established development environments and processes (e.g., Agile) • Support the integration of ML components into production systems • Contribute to experimentation, analysis, and reporting of model results • Keep abreast of new machine learning techniques, tools, and industry developments • Follow best practices for reproducibility, testing, and responsible ML development • Seek guidance from senior team members and proactively develop technical skills • All other duties as assigned Work in a way that works for you:
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.
This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click
here
to access benefits specific to your location. 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
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. 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. ]]>
Languages
- English
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