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Thomson Reuters · 1 week ago

Sr. Generative AI & Machine Learning Engineer

McLean, VA

Full-time

Hybrid

Mid, Senior Level

$118K/yr - $220K/yr

3+ years exp

Thomson Reuters is a world class organization that is leading the way in both content and technology. They are seeking a Sr. Generative AI & Machine Learning Engineer to support product development efforts in generative AI and machine learning applications, while collaborating with internal and external stakeholders.

AdviceAnalyticsFinancial ServicesManagement ConsultingProfessional ServicesRisk ManagementSoftware

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

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

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

You will be accountable for timely, well-managed deliverables

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

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

Qualification

Generative AI technologiesMachine LearningPythonSoftware engineeringAI/ML product developmentData quality improvementTechnical leadershipCommunication skillsCollaborationProblem-solving

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