Senior Machine Learning Engineer – NLP/LLM
Thomson Reuters2 days ago
Base Salary
$110k - $235k/yr
Responsibilities
- Design, build, train, and deploy machine learning and LLM-based models and systems for natural language processing and document intelligence.
- Develop production solutions for information extraction, text generation and summarization, AI agents, search, and document analysis.
- Build scalable machine learning pipelines supporting training, evaluation, deployment, and ongoing production use.
- Develop evaluation frameworks and metrics for model quality, accuracy, reliability, drift, and potential bias.
- Optimize model performance and resource utilization through experimentation, feature engineering, model selection, and tuning.
- Translate business and product problems into machine learning solutions and take them from experimentation through production deployment at scale.
- Collaborate with machine learning, engineering, product, legal, data, and security teams while protecting sensitive information.
Requirements
- Master’s degree in Machine Learning, Computer Science, Statistics, or a closely related quantitative field focused on machine learning or artificial intelligence.
- At least 3 years of professional machine learning engineering, applied machine learning, research engineering, or closely related software engineering experience.
- Hands-on experience building, training, and deploying machine learning models into production, with the ability to explain individual contributions from model development through deployment.
- Strong practical experience with machine learning, natural language processing, and modern LLM architectures.
- Experience with information extraction, text generation or summarization, AI agents, or search.
- Advanced Python programming and hands-on experience with PyTorch or TensorFlow.
- Experience developing or fine-tuning language models or other machine learning models for specialized use cases or domains.
- Experience designing and applying model evaluation methods and metrics for production ML system performance and reliability.
- Ability to translate product or business problems into ML solutions and communicate technical decisions, trade-offs, and outcomes.
- Strong problem-solving, collaboration, and ownership skills.
- Preferred: PhD in a relevant quantitative field; experience deploying and operating ML or LLM systems at scale; legal technology or domain-specific NLP experience; experience in financial services, economics, or other regulated or data-sensitive industries; experience serving or self-hosting LLMs; and experience delivering measurable product or business impact.
Benefits
- Remote within the United States or hybrid from the New York City office; flexible work arrangements include working from anywhere for up to 8 weeks per year.
- Comprehensive health, dental, vision, disability, and life insurance; competitive 401(k) with company match; vacation, sick and safe paid time off, paid holidays, parental leave, and sabbatical leave.
- Two company-wide mental health days, Headspace access, fitness reimbursement, Employee Assistance Program, commuter benefits, and flexible spending and health savings accounts.
- Tuition reimbursement, employee incentive programs, Employee Stock Purchase Plan, adoption and surrogacy assistance, and optional insurance programs.
- Two paid volunteer days annually and opportunities for pro-bono consulting and ESG initiatives.
- Career development and skills-building programs through Grow My Way programming.
- Base compensation varies by location, with listed US ranges of $127,000-$235,000 for certain locations and $110,000-$204,200 for other eligible US locations, plus a possible annual bonus.
Categories
About Thomson Reuters
Thomson Reuters builds research platforms, workflow software, and data services for legal, tax and accounting, compliance, and government professionals, and operates the Reuters global news service. Flagship products include Westlaw for legal research and ONESOURCE and Checkpoint for tax and accounting, sold primarily via subscriptions and enterprise licenses. A public company headquartered in Toronto, it was formed in 2008 by combining Thomson Corporation and Reuters Group and is listed on the TSX and Nasdaq as TRI.