Generative AI & Machine Learning Engineer

Thomson Reuters•McLean, VA

6d•$136,000 - $253,000•Hybrid

About The Position

Thomson Reuters Special Services (TRSS) is seeking a Generative AI and Machine Learning Engineer passionate about data quality improvement, managing, understanding, and analyzing in-house and customer data. This role involves text mining, developing predictive systems, risk scoring, creating efficient algorithms, and other related activities. The engineer will support product development, including generative AI and machine learning application development, deployment, model development, monitoring, ML management, and DevOps. They will be part of a Software Engineering team supporting production applications and developing new features and models. The position requires interfacing with internal and external stakeholders, providing technical and data-exploration expertise to ensure solutions meet customer requirements and technical capabilities. The ideal candidate is proactive, mission-oriented, and strives to produce the best possible work for the customer.

Requirements

Master’s or Bachelor’s in a relevant discipline (relevant experience will be considered in lieu of a degree).
Proficiency in Python.
At least 3+ years of practical, relevant experience building AI/ML products and applications.
Recent demonstrable 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: aiding in 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.

Nice To Haves

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.
Familiarity with LLM training and efficient finetuning (PEFT, LoRA, Quantization).
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.

Responsibilities

Drive the end-to-end model development lifecycle, championing best practices for reproducible research and well-managed software delivery.
Collaborate on a cross-functional team, sharing information, valuing diverse ideas, and partnering effectively with global colleagues.
Elevate and mentor teammates.
Work closely with product teams to integrate and deploy work into production environments.
Translate complex business problems into projects with clearly defined scope.
Be accountable for timely, well-managed deliverables.
Foster innovative ideas to solve real-world challenges.
Iterate on improvements rapidly with a mindset for failing fast and learning continuously from data.
Be a proactive communicator, articulating ideas to both technical and non-technical audiences.
Help lead the adoption of AI across the enterprise.

Benefits

Flexible hybrid working environment
Flex My Way policies for managing personal and professional responsibilities
Work from anywhere for up to 8 weeks per year
Career Development and Growth opportunities
Grow My Way programming
Skills-first approach
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
Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance
Two paid volunteer days off annually
Opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives
Market competitive health, dental, vision, disability, and life insurance programs
Competitive 401k plan with company match
Competitive vacation, sick and safe paid time off
Paid holidays
Parental leave
Sabbatical leave
Optional hospital, accident and sickness insurance paid 100% by the employee
Optional life and AD&D insurance paid 100% by the employee
Flexible Spending and Health Savings Accounts
Fitness reimbursement
Access to Employee Assistance Program
Group Legal Identity Theft Protection benefit paid 100% by employee
Access to 529 Plan
Commuter benefits
Adoption & Surrogacy Assistance
Access to Employee Stock Purchase Plan
Annual Bonus based on a combination of enterprise and individual performance