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Thomson Reuters · 4 hours ago

Sr. Generative AI & Machine Learning Engineer

McLean, VA

Full-time

Hybrid

Mid, Senior Level

$117K/yr - $217K/yr

3+ years exp

Thomson Reuters is a world-class organization leading the way in content and technology to serve and protect citizens. They are seeking a Generative AI and Machine Learning Engineer responsible for product development, including application development, deployment, and system monitoring, while collaborating with internal and external stakeholders to meet customer requirements.

AdviceAnalyticsFinancial ServicesManagement ConsultingProfessional ServicesRisk ManagementSoftware

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Experiment and Develop: You will drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software delivery

Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. You will elevate and mentor teammates. You will work closely with product teams to see your work integrated and deployed into production environments

Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables

Innovate: You will be empowered to try new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data

Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise

Qualification

Generative AIMachine LearningPythonSoftware EngineeringNLPCloud SolutionsAI/ML Product DevelopmentData Quality ImprovementTechnical LeadershipCommunication Skills

Required

Master's or Bachelor's in a relevant discipline. Relevant experience will be considered in lieu of a degree

Ability to travel to Tampa, FL quarterly

Proficiency in Python

At least 3+ years practical, relevant experience building AI/ML products and applications and recent demonstratable experience using Generative AI technologies such as RAG patterns, ReAct, LangChain etc for performing document summarization, knowledge graphs, information extraction, or analysis

Solid software engineering skills and experience

Experience as a technical leader, leading aspects of the following: aiding in the ideation with product stakeholders, comfort in dealing with uncertainty and ambiguity in problem statements and paths to success, breaking down complex problems into tractable components with iterative improvements, formulating research and development plans, coordinating and working with others, communication of progress and plans with varied stakeholders

Hands on coding experience on AI/ML projects in current role and experience in designing, developing, and implementing machine learning models and algorithms

Ability to obtain and maintain a U.S. national security clearance

U.S. Citizenship essential to comply with government contract/agency or department of Federal Government requirements

Preferred

6+ years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry

Experience with AI Agent frameworks and patterns

Familiarity with common NLP use cases such as chatbot development and information retrieval (RAG), language translation, NER, summarization and topic modeling

Experience with NLP/CV libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, HuggingFace Transformers/Diffusers, OpenAI, LangChain, Semantic Kernel & OpenCV

Experience using Cloud solutions (AWS, Azure, etc.) for building and deploying applications

Experience in a fast-paced, agile environment managing uncertainty and ambiguity

Proficiency in Python and experience delivering minimum viable products in a large enterprise environment

Experience developing libraries and APIs for others to use

Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders

Diverse experiences across problem spaces, companies and cultures