Staff Applied Scientist building production ML systems for Samsara’s IoT - connected hardware supply chain. Forecasting demand, optimizing inventory, and modeling supplier risk.
About the role
- Lead Applied Scientist advancing NLP, information retrieval, and GenAI for Thomson Reuters’ legal technology products. Leading applied research from proof of concept through production.
Responsibilities
- Lead an applied research team throughout the full product development life cycle from ideation and proof of concept through production scaling and feedback-driven iteration
- Be fully accountable for research deliverables across projects
- Lead and drive stakeholder engagement with Product, Engineering, subject-matter experts, and Design
- Develop in-depth knowledge of customer problems and data
- Maintain scientific and technical expertise through product deliverables, published research, and intellectual property
- Identify state-of-the-art technology relevant to Thomson Reuters products and leverage it to create customer value
- Provide input to the business and Labs leadership on long-term AI strategy
- Mentor and coach scientists and engineers on best practices and foster innovation, collaboration, and continuous learning
- Design and deliver AI solutions using NLP, information retrieval, machine learning, and generative AI
- Use information retrieval techniques, prompting workflows, model training, and evaluation design to build and optimize solutions
Requirements
- PhD in a relevant discipline or master’s plus a comparable level of experience
- 7+ years of hands-on experience building NLP / IR systems for commercial applications
- Experience writing production code and ensuring well-managed software delivery
- Demonstrable experience translating complex problems into successful AI applications
- Professional experience scaling yourself and leading through others in an applied research setting
- Outstanding communication, problem-solving, and analysis skills
- Staying up to date with the latest research and emerging technology for generative AI for NLP and IR
- Experience collaborating with Product, Engineering and other business stakeholders in an agile manner
- Solid understanding of classic ML techniques used for NLP problems
- Solid understanding of DL approaches used for NLP tasks such as transformer-based models
- Working understanding of inner workings of large language models
- Experience working on text-heavy NLP projects
- Practical experience curating and optimizing datasets for evaluation of ML and LLM-based solutions, including AutoEval methods
- Practical experience using generative AI technologies, including prompt engineering, in-context learning, chain-of-thoughts, prompt optimization, auto-evaluation, function calling, and controlled generation
- Practical experience using RAG frameworks, pre-training/fine-tuning language models, and data curation/generation for training/fine-tuning language models
- Practical experience using agentic frameworks such as PydanticAI, LangGraph, AutoGen, and Semantic Kernel
- Proficiency in Python, Git, AWS, and Azure for remote model development and deployment
- Experience building lightweight UIs, iterating on greenfield concepts, applying agile development practices, and rapid prototyping
- Preferred: prior experience working on legal AI systems or solutions interacting with long documents
- Preferred: experience building applications for the legal domain
- Preferred: knowledge in legal, compliance, or regulatory domains; law degree (J.D.); paralegal experience
- Preferred: publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, ICML, KDD, or similar
- Preferred: knowledge of MLOps and the end-to-end lifecycle of software applications involving AI models
Benefits
- Work from anywhere for up to 8 weeks per year
- Flexible vacation
- Two company-wide Mental Health Days off
- Access to the Headspace app
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Resources for mental, physical, and financial wellbeing
- Two paid volunteer days off annually
- Opportunities to get involved with pro-bono consulting projects and ESG initiatives
- Flexible work arrangements
- Career development and continuous learning through Grow My Way programming
- Supportive workplace policies through Flex My Way
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