Thomson Reuters
Thomson Reuters
Thomson Reuters заң қызметтері, салық және бухгалтерлік есеп, халықаралық сауда, тәуекелдерді басқару, сақтандыру, консалтинг және жаһандық жаңалықтар салаларында жұмыс істейтін мамандарға арналған сенімді контент, деректер мен технологияларды әзірлейді. Компанияның портфеліне құқықтық зерттеу платформалары, салық және бухгалтерлік есеп бағдарламалық жасақтамасы, комплаенс пен реттеуші құралдар, сондай-ақ Reuters медиа қызметтері кіреді. Thomson Reuters арнайы сараптаманы генеративті жасанды интеллектке салынған инвестициялармен ұштастыра отырып, заң фирмаларына, корпорацияларға, салық мамандарына және медиа ұйымдарға күрделі ақпаратты басқаруға, жұмыс үдерістерін оңтайландыруға және неғұрлым негізделген шешімдер қабылдауға көмектеседі.

Senior Machine Learning Engineer, NLP and LLM – Hybrid

Build production NLP and large language model systems for Thomson Reuters legal intelligence products. Turn complex legal documents into actionable insights through scalable, reliable AI capabilities.

Сипаттама

  • Create and deploy production machine learning and large language model systems that extract useful insights from complex legal documents and data
  • Address NLP challenges involving contractual language, information extraction, model-based analysis, and document comparison
  • Design, develop, train, and deploy machine learning and LLM-powered models and systems
  • Deliver production capabilities for information extraction, text generation and summarization, AI agents, search, and document analysis
  • Create dependable, scalable pipelines for model training, evaluation, deployment, and continued production operation
  • Establish evaluation frameworks and metrics covering model quality, accuracy, reliability, drift, and potential bias
  • Improve model performance and resource efficiency through experimentation, feature engineering, model selection, and tuning
  • Convert business and product needs into machine learning solutions from initial experimentation through production scale
  • Partner with machine learning, engineering, product, legal, data, and security teams
  • Safeguard sensitive information while delivering dependable AI capabilities

Талаптар

  • Master’s degree in machine learning, computer science, statistics, or a related quantitative discipline focused on machine learning or artificial intelligence
  • At least three years of professional experience in machine learning engineering, applied machine learning, research engineering, or closely related software engineering
  • Practical experience building, training, and deploying machine learning models in production
  • Strong applied knowledge of machine learning, natural language processing, and current large language model architectures
  • Experience with information extraction, text generation or summarization, AI agents, or search
  • Advanced Python programming ability
  • Hands-on experience with PyTorch or TensorFlow
  • Experience developing or fine-tuning language models or other machine learning models for specialized applications or domains
  • Experience designing and using model evaluation methods and metrics
  • Ability to turn product or business needs into machine learning solutions and explain technical decisions, trade-offs, and outcomes
  • Strong problem-solving, collaboration, and ownership capabilities
  • Preferred: PhD in machine learning, computer science, statistics, or a related quantitative discipline
  • Preferred: Experience deploying and operating ML or LLM systems at scale
  • Preferred: Background in legal technology, legal NLP, legal document analysis, or domain-specific language modeling
  • Preferred: Experience in financial services, economics, or regulated or data-sensitive industries
  • Preferred: Experience serving or self-hosting LLMs and improving computational efficiency
  • Preferred: Experience leading complex ML initiatives from research or experimentation through production with measurable results

Артықшылықтар

  • Flexible hybrid work arrangement for office-based positions
  • Work remotely from anywhere for up to eight weeks each year
  • Flexible vacation policy
  • Two company-wide mental health days off
  • Access to the Headspace app
  • Retirement savings options
  • Tuition reimbursement
  • Employee incentive programs
  • Resources supporting mental, physical, and financial wellbeing
  • Two paid volunteer days each year
  • Opportunities to participate in pro bono consulting projects
  • Health, dental, vision, disability, and life insurance programs
  • 401(k) plan with company matching
  • Paid sick and safe time off
  • Paid holidays, including two company mental health days
  • Parental leave
  • Sabbatical leave
  • Optional hospital, accident, and sickness insurance
  • Optional life and accidental death and dismemberment insurance
  • Flexible Spending Accounts and Health Savings Accounts
  • Fitness reimbursement
  • Employee Assistance Program
  • Group legal and identity theft protection benefit
  • Access to a 529 plan
  • Commuter benefits
  • Adoption and surrogacy assistance
  • Employee Stock Purchase Plan
  • Potential eligibility for an annual bonus based on enterprise and individual performance

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