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Research Engineer

🔥 12 hours ago

❄️ Minnesota – Remote

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💵 $88.2k - $163.8k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📚 Research Engineer

👻 Ghost score 0%

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Logo of Thomson Reuters

Thomson Reuters

10,000+ employees

⚖️ Legal

📋 Compliance

🤝 B2B

Legal • Compliance • B2B

Thomson Reuters is a global provider of information, software and services for legal, tax, accounting, risk and government professionals. Its product portfolio (from the provided text) includes legal research and drafting platforms like Westlaw, Practical Law and CoCounsel AI, tax and audit solutions such as ONESOURCE and CoCounsel Tax, trade and compliance tools, and investigative and public-records products under CLEAR. Thomson Reuters combines authoritative content (law books, tax guidance) with SaaS platforms, AI-driven workflows, and APIs to help law firms, corporations, governments and accounting firms perform research, manage matters, ensure compliance, and detect risk and fraud.

📋 Description

• Apply modern software development practices across the entire software development lifecycle • Design, build, test, and deliver high-quality solutions • Create large-scale data processing pipelines for researchers building and training machine learning algorithms • Develop high-performing, scalable systems for large online delivery environments • Share information and partner with cross-functional and remote teams • Deliver timely solutions in a fast-paced, dynamic environment • Try new approaches and learn new technologies • Contribute innovative ideas and deliver end-to-end solutions • Communicate ideas and collaborate on technical developments with cross-functional partners and team members

🎯 Requirements

• Bachelor of Science degree in computer science or related field • At least 2 years of software engineering experience, ideally in machine learning and natural language processing • Experience and understanding of Python software development stacks and ecosystems • Ability to understand, apply, integrate, and deploy machine learning capabilities and techniques into other systems • Familiarity with Python data science libraries including Numpy, Scipy, Pandas, Dask, spaCy, NLTK, and scikit-learn • Clean, reusable, maintainable, and well-tested code development • Familiarity with probabilistic models and mathematical concepts underlying machine learning methods • Proficiency in automation, system monitoring, and cloud-native applications • Familiarity with AWS, Azure, or a related cloud platform • Exposure to Natural Language Processing problems and familiarity with Named Entity Recognition, Information Extraction, and Information Retrieval • Ability to translate between research and engineering methodologies • Ability to integrate machine learning solutions into production-grade software

🏖️ Benefits

• Flexible work arrangements, including work from anywhere for up to 8 weeks per year • Flexible vacation • Two company-wide Mental Health Days off • Headspace app access • Retirement savings • Tuition reimbursement • Employee incentive programs • Mental, physical, and financial wellbeing resources • Two paid volunteer days off annually • Pro-bono consulting project opportunities • Environmental, Social, and Governance (ESG) initiative opportunities • Health, dental, vision, disability, and life insurance programs • Competitive 401k plan with company match • Competitive vacation, sick and safe paid time off • Paid holidays, including two company mental health days off • Parental leave • Sabbatical leave • Optional hospital, accident and sickness insurance • Optional life and AD&D insurance • Flexible Spending and Health Savings Accounts • Fitness reimbursement • Employee Assistance Program • Group Legal Identity Theft Protection benefit • 529 Plan access • Commuter benefits • Adoption & Surrogacy Assistance • Employee Stock Purchase Plan • Potential eligibility for an Annual Bonus based on enterprise and individual performance

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